Artificial Intelligence Engineer with 10 years of experience designing and delivering production-grade AI solutions across Machine Learning, Natural Language Processing, and Computer Vision. I specialize in building end-to-end intelligent systems—from data engineering and model development to scalable cloud deployment.

I combine deep AI expertise with strong software engineering, cloud-native architecture, and MLOps practices to deliver reliable, high-performance AI products that solve real-world problems.

With a decade of hands-on experience, I have successfully designed, implemented, and deployed AI-driven systems for intelligent automation, data-driven decision-making, and large-scale production environments. My work spans model research, optimization, and real-world deployment, ensuring solutions are not only accurate but also scalable, maintainable, and secure.

I am passionate about transforming complex business requirements into robust AI solutions and continuously exploring emerging technologies such as LLMs, speech recognition, and GPU-accelerated inference.

• Supervised, Unsupervised & Reinforcement Learning
• Deep Learning (CNNs, RNNs, Transformers)
• Model Training, Evaluation & Optimization
• Feature Engineering & Data Preprocessing
• Model Explainability & Performance Tuning

• Text Classification & Sentiment Analysis
• Named Entity Recognition (NER)
• Semantic Search & Information Retrieval
• Large Language Models (LLMs)
• Prompt Engineering & Fine-tuning

• Image Classification & Object Detection
• Image Segmentation
• Face & Object Recognition
• OCR & Document Understanding
• Video Analytics

• PyTorch, TensorFlow, Keras
• Scikit-learn, XGBoost, LightGBM
• Hugging Face Transformers
• OpenCV, ONNX

• Model Serving & API Integration
• CI/CD Pipelines for Machine Learning
• Model Versioning, Monitoring & Drift Detection
• Docker & Kubernetes for AI Workloads
• GPU Acceleration (CUDA, TensorRT)

• AWS, Azure, Google Cloud Platform
• Microservices & Event-Driven Architecture
• Serverless Computing
• Scalable Cloud-Native AI Systems

• Python (Primary)
• C++, C#, Java
• JavaScript / TypeScript

• System Design & Architecture
• RESTful APIs & Distributed Systems
• Design Patterns & Clean Code Practices
• Performance Optimization & Reliability Engineering

• Technical Leadership & Mentorship
• Cross-functional Team Collaboration
• Agile / Scrum Development
• Clear Documentation & Knowledge Sharing

• Building production-ready AI systems
• Bridging research and real-world deployment
• Designing scalable and maintainable architectures
• Delivering measurable business impact with AI
• Deploying computer vision solutions on edge devices, including Raspberry Pi and NVIDIA Jetson platforms (TX1, TX2, Nano)

• 💼 Professional AI & Software Engineer
• 🌐 Open to collaboration, consulting, and AI-driven projects

⭐ If you find my work useful, feel free to explore my repositories and connect!