AI Developer. Systems thinker. Builder of things that actually ship.
I work at the intersection of machine learning research and production engineering. My focus is on building AI systems that are reliable, interpretable, and deployable — not just accurate on a benchmark. I care about the gap between a trained model and a working product, and I have spent three internships learning how to close it.
Languages Python Dart Java C/C++ Go JavaScript
ML / AI TensorFlow Keras PyTorch scikit-learn Hugging Face LangChain
Vision OpenCV YOLOv8 MediaPipe OpenPose
Backend FastAPI Django Flask
Frontend React Flutter HTML/CSS
Databases PostgreSQL MongoDB SQLite
Tools Docker Linux Git REST API GraphQL
Computer Vision Systems Real-time detection, cross-camera tracking, pose estimation, and object recognition pipelines. I build systems that process video at inference time, not just images offline.
Agentic AI and RAG Systems Multi-agent pipelines, retrieval-augmented generation, and LLM-backed tools integrated with real backends. I have deployed systems that serve real users in production.
Full-Stack ML Applications End-to-end systems from model training through API design to frontend delivery. FastAPI, Django, PostgreSQL, React, and Flutter — I handle the full pipeline.
Scientific and Medical ML Skin disease classification, cognitive stress analysis from speech, and physics-informed machine learning for nonlinear wave propagation. My ML work is domain-specific and grounded in real problems.
- Physics-informed machine learning for inverse problems in nonlinear optics
- AI vulnerability analysis and post-quantum cryptographic security modeling
- Pose estimation and spatio-temporal action recognition
- Uncertainty quantification in deep learning systems
- Knowledge graph evolution and semantic diffing
VINSE Intern at VLED Lab - IIT Ropar (Ropar, India) . May-Present 2025
AI Developer Intern — BPaaS Proceedit (Barcelona, Spain) · Apr–Nov 2025 Delivered novel ML and deep learning models achieving 98.7% accuracy, outperforming single-model baselines. Integrated models via GraphQL API, enabling 50% workload redistribution and measurable server cost reduction.
AI Developer Intern — CollegeTips.in (Mumbai, India) · Apr–Jun 2025 Developed and deployed a multilingual AI chatbot with voice I/O and FastAPI-PostgreSQL backend. Designed a frontend interface adopted for production use.
Software Engineering Intern — Marvik Academy (Udaipur, India) · Nov–Dec 2024 Built a Flutter notes application with SQLite persistence and custom productivity features. Adopted by staff and distributed to students.
Building toward ML research that bridges physics-constrained modeling and data-driven inference. Exploring agentic system architectures, uncertainty-aware prediction, and scalable computer vision pipelines.
To work at the boundary of AI systems research and applied engineering — contributing to systems that are robust enough to be trusted in high-stakes domains: healthcare, security, and science.