
Hello! I Am Burhanuddin Tinwala



Hello! I Am Burhanuddin Tinwala
An Engineer who
Builds AI that
thinks &
scales...
Because the best systems don't just work — they get smarter.
I'm a |
Currently, I'm a Full Stack AI ML Developer atWavenet Technologies,
Results-oriented Full Stack AI ML Developer with hands-on experience in architecting and deploying end-to-end Generative AI and Full Stack solutions. Proficient in Python, LLMs, RAG pipelines, and Agentic AI — building scalable systems on AWS and Azure that drive real-world impact.
Work Experience
Full Stack AI ML Developer
Wavenet Technologies Pvt Ltd
Mumbai · Full-time
- ▹Engineered an automated Enterprise Call AI Agent leveraging ASR and RAG to automate Tier-1 support tasks and streamline enterprise call workflows.
- ▹Represented Wavenet Technologies at the Startup Grand Challenge (ASR Problem Statement) hosted at IIT Delhi by NIIPC — achieved Top 15 finish among nationwide startups.
- ▹Fine-tuned Large Language Models (LLMs) on domain-specific datasets, boosting response accuracy and contextual relevance by 25% compared to base models.
- ▹Trained and fine-tuned image recognition models — including floor plan to 3D visualization and language identification — enabling production-ready computer vision pipelines.
- ▹Developed a responsive UI using React.js and React Flow, enabling non-technical users to visualize complex agent conversation flows and reducing configuration time by 30%.
- ▹Orchestrated the deployment of ML models using Docker and Azure VM, establishing a scalable pipeline that improved inference reliability and uptime.
- ▹Optimized data preprocessing pipelines using Pandas and NumPy, ensuring high-quality input features for model training and evaluation.
Education
Bachelor of Science in Computer Science
Mumbai University, Mumbai
Relevant Coursework: Artificial Intelligence, Machine Learning, Data Science, Information Retrieval, Theory of Computation.
SGPI: 8.9 (SEM VI)
About Me
I'm currently looking to join a cross-functional team that values building impactful AI-driven products and scalable full-stack solutions.
Results-oriented Full Stack AI ML Developer with hands-on experience in architecting and deploying end-to-end Generative AI solutions. Proficient in Python, LLMs, RAG pipelines, and Agentic AI. Trained and fine-tuned models for image recognition tasks — including floor plan to 3D visualization and language identification. Demonstrated success in containerizing applications for scalable cloud deployment on AWS and Azure, with frontend delivery via Cloudflare.
Technical Skills
Languages
AI/ML & Generative AI
Libraries & Frameworks
Cloud & DevOps
Web Development
Tools
Projects
End-to-end AI systems, shipped.
Featured Project
Shabbir Tinwala Interior Designer
Freelance interior design portfolio website built for high performance and optimal user experience.
Featured Project
Reinforcement Learning Tic-Tac-Toe
An interactive Tic-Tac-Toe game powered by Reinforcement Learning using a Q-learning agent and Minimax algorithm.
Featured Project
Interior Design Image Generation
Architected a Generative AI system using Stable Diffusion to transform 2D floor plans into 3D interior visualizations, increasing design iteration speed by 50%. Trained and fine-tuned a custom image recognition model for floor plan understanding, deployed as a containerized inference pipeline on Azure supporting concurrent user requests with low latency.

Featured Project
ASR-Powered Meeting Assistant
Built a modular RAG pipeline capable of transcribing real-time discussions and answering context-aware queries with 90%+ accuracy. Implemented HR-specific retrieval use cases, allowing employees to instantly access benefit information from unstructured meeting audio. Reduced manual note-taking efforts by automating summary generation.

Featured Project
AI-Powered Code Generation & Debugging Agent
Agentic AI tool that autonomously generates code snippets, detects bugs, and optimizes performance. Built as a multi-agent system where different agents specialize in writing, reviewing, and testing code, reducing overall development and debugging time significantly.

More Projects
Interactive Data Analysis Dashboard
High-performance Streamlit dashboard for comparative dataset analysis, enabling users to uncover hidden trends 3x faster than manual methods.
Conversational AI Personal Assistant
Hybrid intent recognition system using Decision Trees and Regex, achieving high-accuracy command interpretation for hands-free operations.