Hi, I'm
Akshay Satasiya👋
Data Scientist & AI/ML Engineer with 2+ years building production-ready AI solutions. I transform complex business challenges into intelligent systems using Deep Learning, NLP, and Generative AI delivering measurable impact through automation, enhanced decision-making, and scalable AI applications that drive real business value.
About Me
Transforming Data into Scalable AI Solutions
AI/ML Engineer specializing in Generative AI, Deep Learning, and production-ready systems. I own the complete AI product lifecycle from idea and model development to cloud deployment and real-world scaling.
Focused on building reliable, high-performance systems that solve real business problems, deliver measurable impact, and remain maintainable as products grow.
2+ years building production AI systems with Azure, OpenAI, and TensorFlow
Specialized in Generative AI, NLP, Computer Vision, and RAG-based chatbots
End-to-end expertise from model development to cloud deployment and scaling
Work Experience
AI/ML Engineer
- Designed and deployed scalable generative AI solutions using Azure, OpenAI, and TensorFlow
- Led development of advanced chatbot systems with RAG and semantic search capabilities
- Implemented wine label detection model with Azure Custom Vision achieving 95%+ accuracy
- Developing voice-enabled customer service bot using Azure Speech Services
AI/ML Trainee
- Gained hands-on experience in generative AI with LangChain, LlamaIndex, and vector databases
- Designed AI systems capable of autonomous content generation
- Developed expertise in NLP, deep learning, and cloud-based system architecture
- Built production-ready AI applications using Python and modern frameworks
Education
Master of Computer Applications
- Specialized in Data Science, AI/ML, and Deep Learning
- Cloud Computing and scalable system architecture
- Hands-on projects in Python, Django, and modern frameworks
- Developed data-driven solutions for real-world challenges
Bachelor of Business Administration
- Business operations and strategic planning
- Leadership and team management
- Marketing and business development
- Problem-solving for real-world business challenges
Skills & Technologies
Production-ready AI stack for scalable systems
Featured Projects
Showcasing AI/ML projects in Computer Vision, Generative AI, and Deep Learning
Computer Vision
Football Match Analysis
End-to-end real-time football analytics system built using YOLO and OpenCV to detect, track, and analyze players, referees, and ball movement from match videos. The system performs multi-object tracking, team classification using jersey color clustering, and frame-level analytics to generate actionable insights for match analysis and performance evaluation.
Computer Vision
Parking Spot Detection
Automated parking occupancy monitoring system that analyzes live or recorded video streams to detect available and occupied parking slots. Built using YOLO-based object detection and OpenCV pipelines to enable real-time space utilization analytics, reducing manual monitoring and improving parking efficiency.
Generative AI
Chat with Documents
Production-ready Retrieval-Augmented Generation (RAG) application enabling conversational interaction with multi-format documents (PDF, DOCX, TXT). Built using LlamaIndex with OpenAI/Gemini models and Pinecone vector storage to deliver grounded, context-aware answers through an interactive Streamlit interface.
Computer Vision
Tennis Match Analysis
Advanced sports analytics pipeline combining YOLO object detection and a custom CNN model to track players, ball trajectory, and court keypoints. The system enables automated match analysis, spatial awareness, and performance insights from raw tennis match videos.