About me
Empowering Businesses with Scalable Intelligence
Hello!
I am Viktor, AI/ML Engineer with over 8 years of experience in delivering End-to-End AI solutions. My expertise spans across Machine Learning, Natural Language Processing, and Computer Vision, with a strong foundation in Full-Stack and Mobile Development.
I am skilled in Python, FastAPI, Flask, React, Next.js, Node.js, Nest.js, and React Native, I also work extensively with TensorFlow, PyTorch, Hugging Face, and OpenCV.
My background spans Cloud Platforms (AWS, Azure, GCP), Containerization (Docker, Kubernetes), and Databases (PostgreSQL, MongoDB, Redis).
Passionate about building scalable AI-driven applications, I focus on solving complex business challenges and driving measurable impact.
I am Viktor, AI/ML Engineer with over 8 years of experience in delivering End-to-End AI solutions. My expertise spans across Machine Learning, Natural Language Processing, and Computer Vision, with a strong foundation in Full-Stack and Mobile Development.
I am skilled in Python, FastAPI, Flask, React, Next.js, Node.js, Nest.js, and React Native, I also work extensively with TensorFlow, PyTorch, Hugging Face, and OpenCV.
My background spans Cloud Platforms (AWS, Azure, GCP), Containerization (Docker, Kubernetes), and Databases (PostgreSQL, MongoDB, Redis).
Passionate about building scalable AI-driven applications, I focus on solving complex business challenges and driving measurable impact.















































All services at a glance!
Logo Design
Web Design
Web Development
AI-Powered Virtual Assistants
Computer Vision
Natural Language Processing
AI Video Editing
Data Science & Analytics
Automated Systems
Cloud Infrastructure & DevOps
Machine Learning Solutions
Mobile App Development
AI-Driven Fashion Solutions
Blockchain Development
Third-Party Integration
Logo Design
Web Design
Web Development
AI-Powered Virtual Assistants
Computer Vision
Natural Language Processing
AI Video Editing
Data Science & Analytics
Automated Systems
Cloud Infrastructure & DevOps
Machine Learning Solutions
Mobile App Development
AI-Driven Fashion Solutions
Blockchain Development
Third-Party Integration
Logo Design
Web Design
Web Development
AI-Powered Virtual Assistants
Computer Vision
Natural Language Processing
AI Video Editing
Data Science & Analytics
Automated Systems
Cloud Infrastructure & DevOps
Machine Learning Solutions
Mobile App Development
AI-Driven Fashion Solutions
Blockchain Development
Third-Party Integration
Logo Design
Web Design
Web Development
AI-Powered Virtual Assistants
Computer Vision
Natural Language Processing
AI Video Editing
Data Science & Analytics
Automated Systems
Cloud Infrastructure & DevOps
Machine Learning Solutions
Mobile App Development
AI-Driven Fashion Solutions
Blockchain Development
Third-Party Integration
Logo Design
Web Design
Web Development
AI-Powered Virtual Assistants
Computer Vision
Natural Language Processing
AI Video Editing
Data Science & Analytics
Automated Systems
Cloud Infrastructure & DevOps
Machine Learning Solutions
Mobile App Development
AI-Driven Fashion Solutions
Blockchain Development
Third-Party Integration
Logo Design
Web Design
Web Development
AI-Powered Virtual Assistants
Computer Vision
Natural Language Processing
AI Video Editing
Data Science & Analytics
Automated Systems
Cloud Infrastructure & DevOps
Machine Learning Solutions
Mobile App Development
AI-Driven Fashion Solutions
Blockchain Development
Third-Party Integration
Service
How can I help you?
I specialize in turning innovative ideas into practical AI-driven results!
AI Voice & Call Agent Development
Description
AI Voice & Call Agent Development involves creating intelligent systems that understand and respond to human speech using advanced technologies like speech recognition, natural language processing, and text-to-speech synthesis.
Example
Technologies & Languages
1. Programming: Python, Node.js, JavaScript, TypeScript
2. Frameworks: FastAPI, Flask, Express.js, NestJS
3. Telephony SDKs: Twilio, LiveKit, Daily.co, Agora
APIs & Integrations
1. Communication APIs: Twilio, Retell AI, VAPI, SynthFlow, SignalWire
2. Speech-to-Text (STT): OpenAI Whisper, Deepgram, Google Speech-to-Text, AssemblyAI
3. Text-to-Speech (TTS): OpenAI TTS, ElevenLabs, Microsoft Azure Speech, Amazon Polly
4. CRM/Calendar Integrations: HubSpot, Salesforce, Google Calendar, Outlook
AI Models & Frameworks
1. LLMs: GPT-4o, Claude, Llama-3, Mistral, Mixtral
2. Voice AI: xTTS, Bark, VALL-E
3. RAG & Knowledge Base: LangChain, FAISS, Pinecone, Weaviate
4. Custom Fine-Tuning: LoRA, PEFT, Hugging Face Transformers
Specialized Features
1. Sentiment & Emotion Detection
2. Multilingual & Cross-Accent Support
3. Smart Scheduling (Calendars, Reservations, Bookings)
AI-Powered Chatbots & Conversational Agents
Description
AI-Powered Chatbots & Conversational Agent Development involves building intelligent systems that can understand, process, and respond to user inputs through natural language processing, dialogue management, and context-aware automation.
Languages, Frameworks & Libraries
1. Programming: Python, Node.js, JavaScript, TypeScript, Java/C#
2. Frameworks & Libraries: FastAPI/Flask/Django, React/Next.js/React Native/Expo, Rasa/Botpress/Dialogflow
AI Models
1. Large Language Models: GPT-4/GPT-4o, Claude 3.5/Sonnet, LLaMA-3/Mistral 7B/Mixtral, DeepSeek
2. Embeddings & Retrieval Models: OpenAI text-embedding-3-large, SentenceTransformers
3. Speech Models: Whisper/GPT-4o-mini-transcribe, xTTS/Bark/VITS/ElevenLabs
4. Multimodal & Vision Models: CLIP/BLIP/LLaVA, Gemini/GPT-4o, SAM(Segment Anything)
5. Fine-tuning & Custom Models: LoRA/QLoRA/PEFT, RAG pipelines with FAISS/Pinecone
Services & Platforms
1. Cloud: AWS, Azure, Google Cloud
2. Messaging Platforms: WhatsApp, Telegram, Slack, Discord, MS Teams
3. Telephony & Voice: Twilio, Retell AI, LiveKit, VAPI, SynthFlow
4. RM/Business Tools: HubSpot, Salesforce, GoHighLevel, Notion
Advanced Features
1. Conv AI: Personalization, Multi-language support, Emotion/sentiment analysis
2. Voice & Multimodal AI: Real-time STT+TTS, Voice avatars & lip sync, Multimodal chat
3. Intelligent Workflows: RAG, Hybrid search, Tool calling, function chaining
4. Security & Compliance: Data masking & redaction, GDPR/HIPAA, Role-based access
Machine Learning Model Development
Description
Machine Learning Model Development involves designing, training, and deploying custom models to extract insights, automate processes, and drive intelligent decision-making—leveraging robust data pipelines, advanced algorithms, and scalable architecture to deliver reliable real-world solutions tailored to specific business needs.
Model Types
1. Classical Models: Linear Regression, Logistic Regression, Decision Trees, SVM, LightGBM
2. DL Models: NLP(Transformer), Vision(CNN), Speech, Generative(GAN, Diffusion Models)
3. Reinforcement Learning: PPO, DQN, AlphaZero-style agents
Model Training
1. Languages: Python (primary), sometimes R, Julia
2. Frameworks & Libraries: PyTorch, TensorFlow, JAX, Keras, scikit-learn, XGBoost, LightGBM
3. Tools: Exp tracking(MLflow, Weights & Biases), Hardware(CUDA, cuDNN, NVIDIA GPUs/TPUs)
4. Services: AWS Sagemaker, Azure ML, GCP Vertex AI, RunPod
Model Fine-Tuning
1. Techniques: Transfer Learning, LoRA, QLoRA, PEFT, Instruction Tuning, RLHF
2. Frameworks: Hugging Face Transformers & PEFT, OpenAI Fine-tuning API, PyTorch Lightning
3. Parameter-efficient fine-tuning tools: bitsandbytes, LoRA/QLoRA
4. Retrieval-Augmented Generation tool: LangChain, Haystack, LlamaIndex
5. Services: Hugging Face Hub, OpenAI Platform, Replicate, Modal
6. Prompt engineering, embedding-based personalization
Natural Language Processing Solutions
Description
Natural Language Processing Solutions deliver intelligent systems that understand, interpret, and generate human language by leveraging advanced machine learning algorithms, enabling automated text analysis, sentiment detection, language translation, speech recognition, and context-aware conversational interfaces to optimize business communications and extract actionable insights from unstructured data.
Services Offered
1. Conversational AI & Chatbots: Intelligent virtual assistants with context-aware dialogues.
2. NER: Extract structured knowledge (names, dates, organizations, products, etc).
3. Sentiment Analysis & Opinion Mining: Detect sentiment, intent, and emotions in real time.
4. Text Generation & Summarization: Automated report writing, product descriptions & summarization.
5. Machine Translation: Custom domain-adapted multilingual translation pipelines.
6. Document Processing: Automated extraction, summarization, and classification of text/PDFs/images.
Example Use Cases
1. Automating customer support chatbots with GPT-powered assistants.
2. Building contract analysis tools for law firms to extract key clauses.
3. Developing multilingual e-commerce search engines with semantic search.
4. Creating voice-enabled tutoring systems for education platforms.
Computer Vision & Image Processing
Description
Computer Vision & Image Processing enables systems to analyze and interpret visual data using advanced algorithms for tasks like object detection, image enhancement, and real-time video analysis—empowering automation and intelligent decision-making across diverse industries.
Services Offered
1. Object Detection/Tracking: RT detection and monitoring (YOLO, Faster R-CNN, SSD).
2. Image Classification: Accurate recognition using CNNs & Vision Transformers.
3. Facial Recognition: Identity verification, emotion detection & demographic analysis.
4. OCR & Document AI: Extract data from scanned docs, receipts, and IDs.
5. Medical Image Analysis: MRI, CT, and X-ray interpretation with CNNs/ViTs.
6. Image Segmentation: Semantic & instance segmentation for precision tasks.
7. Video Analytics: Activity, anomaly, and surveillance insights.
8. Generative AI: Create & enhance images with GANs and Stable Diffusion.
Languages & Frameworks
1. Programming: Python, C++, JavaScript
2. AI/ML Frameworks: PyTorch, TensorFlow, Keras
3. Computer Vision Libraries: OpenCV, Detectron2, MMDetection, MediaPipe
4. DL Models: YOLOv8, CLIP, BLIP, Vision Transformers (ViT, Swin, DINO)
Tools & Infrastructure
1. Data Labeling & Annotation: CVAT, Labelbox, Roboflow
2. Edge & Mobile Deployment: TensorRT, ONNX, Core ML, TFLite
3. Cloud Platforms: AWS Rekognition, Azure Computer Vision, Google Vision AI
4. Vector & Storage: FAISS, Pinecone, MongoDB GridFS for images
5. Deployment: Docker, Kubernetes, FastAPI for APIs
Example Use Cases
1. Retail: Smart checkout, shelf monitoring, and product recognition.
2. Healthcare: AI-assisted radiology and pathology image analysis.
3. Security: Real-time surveillance, intrusion detection, facial recognition.
4. Manufacturing: Defect detection, quality assurance, and automation.
5. Creative AI: AI-generated art, design automation, and augmented reality filters.
AI Automation & Workflow Integration
Description
AI Automation & Workflow Integration leverages artificial intelligence to streamline business processes by automating complex, decision-driven tasks and connecting multiple systems for seamless, intelligent workflows that improve efficiency, accuracy, and scalability.
Services
1. Business Process Automation: Automate repetitive tasks across departments.
2. Workflow Orchestration: Automate end-to-end processes with AI triggers and actions.
3. CRM & ERP Integration: Streamline operations with Salesforce, HubSpot, Zoho, SAP.
4. Email & Campaigns: AI-generated emails, smart scheduling, and personalization.
5. Document Automation: OCR, classification, and intelligent data routing.
6. Voice & Chat Agents: AI assistants for support, booking, and sales(Twilio, LiveKit).
7. API & SaaS Integration: Connect Stripe, Slack, Google Workspace, Notion, and more.
8. AI-Powered Workflows: Data ingestion → processing → delivery across platforms.
Tools & Platforms
1. Automation Platforms: n8n, Zapier, Make.com, Airflow
2. AI Agent Frameworks: LangChain, CrewAI, Lyzr, AutoGen
3. Voice & Communication: Twilio, LiveKit, Retell AI, SynthFlow
4. CRM/ERP: Salesforce, HubSpot, Zoho, Odoo, SAP S/4HANA
5. Project & Knowledge Platforms: Notion, Trello, Asana, Google, Slack, Microsoft Teams
6. Finance & Payments: Stripe, QuickBooks, Xero
Example Use Cases
1. Automating customer onboarding with AI chat + CRM workflows.
2. AI-powered support ticket classification & routing.
3. Smart email marketing with auto-generated campaigns.
4. Voice agent for restaurant/clinic bookings integrated with calendars.
5. Automated invoice processing with OCR + QuickBooks sync.
6. End-to-end HR onboarding workflow with document signing and Slack integration.
Full Stack Web Development
Description
Full Stack Web Development involves building complete web applications by combining front-end user interfaces with back-end server logic and database management for seamless, scalable digital solutions.
Services
1. Custom Web Applications: Tailored apps with frontend, backend, and APIs.
2. Responsive Frontend Development: Fast, user-friendly, and mobile-first designs
3. Scalable Backend Development: APIs, microservices, and real-time applications.
4. Database Design & Integration: SQL & NoSQL databases optimized for performance.
5. E-Commerce Solutions: Shopify, WooCommerce, Stripe/PayPal integrations.
6. No-Code & Low-Code Apps: Rapid product launches using modern builders.
7. Cloud & DevOps: Deployment, scaling, and monitoring on AWS, Azure, GCP.
8. SaaS Development: Subscription apps with CI/CD, authentication, and automation.
9. Internal Tools & Dashboards: Data-driven systems for operations and analytics.
Platforms (No-Code & Low-Code)
1. AI-Powered Builders: Lovable AI, Bolt.new, V0.dev, Softr, Bildr
2. Web Builders: Webflow, Bubble, Wix, Framer
3. Internal Tools: Retool, Airtable, Glide
4. Automation: Zapier, Make.com, n8n
Languages & Frameworks
1. Frontend: HTML, CSS, JavaScript, TypeScript, React, Next.js, Vue.js
2. Backend: Node.js, Express, NestJS, FastAPI, Django, Flask
3. Mobile/Hybrid: React Native, Expo, Flutter
4. Databases: PostgreSQL, MySQL, MongoDB, Firebase, Supabase
5. Styling: Tailwind CSS, Material UI, Styled Components
Tools & Infrastructure
1. Version Control: Git, GitHub, GitLab
2. Deployment: Vercel, Netlify, Render, Heroku, Docker, Kubernetes
3. Cloud: AWS (EC2, Lambda, S3), Google Cloud, Azure
4. Testing: Jest, Cypress, Postman
5. CI/CD: GitHub Actions, GitLab CI, Jenkins
Mobile App Development
Description
Mobile App Development delivers custom, high-quality applications for iOS and Android, combining intuitive design with robust functionality to engage users and achieve business goals.
Services
1. Custom Mobile Apps: iOS & Android apps tailored to business needs.
2. Cross-Platform Apps: Single codebase apps with React Native, Flutter, Expo.
3. AI-Powered Apps: Integrate NLP, computer vision, and automation into mobile.
4. E-Commerce & Fintech Apps: Payments, subscriptions, and product catalogs.
5. Social & Chat Apps: Messaging, push notifications, and community features.
6. Healthcare & IoT Apps: Wearables, sensors, and data-driven applications.
7. No-Code Mobile MVPs: Rapid app launch with Adalo, Glide, Draftbit.
8. App Maintenance & Scaling: Continuous updates, cloud deployment, CI/CD.
Platforms (No-Code & Low-Code)
1. App Builders: Adalo, Glide, Draftbit, Thunkable, Bravo Studio
2. AI-Powered Builders: Lovable AI, Bildr, V0.dev for mobile-first apps
3. Cross-Platform Frameworks: React Native, Expo, Flutter, Ionic
4. Internal Apps: Retool Mobile, Airtable Mobile, Glide Apps
Languages & Frameworks
1. Frontend & Mobile: React Native, Expo, Flutter
2. Backend: Node.js, FastAPI, Firebase, Supabase, GraphQL APIs
3. Databases: Firebase Firestore, Supabase Postgres, MongoDB Realm, SQLite
4. Cloud Integration: AWS Amplify, Google Firebase, Azure Mobile Apps
Tools & Infrastructure
1. Payments: Stripe, PayPal, Apple Pay, Google Pay
2. Authentication: Firebase Auth, Auth0, Cognito, Supabase Auth
3. Push Notifications: Firebase Cloud Messaging (FCM), OneSignal
4. Deployment: App Store, Google Play, TestFlight, Expo EAS Build
Portfolio
Our latest work


















📅12/2024-07/2025 Sparc Edu TechCalifornia, United States
AI Engineer
Developed and deployed AI Voice Agents by integrating LLM, STT & TTS technologies. Also implemented AI Chatbots for various websites and built AI Call Agents using Retell AI & Vapi.
📅04/2022-10/2024 TechNow IOBerlin, Germany
Senior Software Engineer
Developed Affective-Computing AI models that integrate expert knowledge and intuition, optimized via Fine-Tuning, and enhanced with AI Chatbots for various websites and built Hugging Face NLP and Reinforcement Learning.
📅07/2019-02/2022 Benefit TechFrankfurt, Germany
Senior Full Stack Developer
Enhanced PoC for scalable text (GPT-3) and image (BigGAN/DALL·E) generation, improved NLP tools to cut content creation time by 30%, and optimized AI/ML deployment for Edge Devices on NVIDIA Jetson Xavier NX.
📅10/2017-05/2019 InnoplexusFrankfurt, Germany
Full Stack Developer
Built an AI-powered chatbot for open dataset queries (GPT-2, Elasticsearch, FAISS, TensorFlow, BERT), and engineered a hybrid optimization model (LNS + QUBO) to boost retrieval accuracy and resource utilization efficiency.




