- Built a modular machine learning framework from first principles using Python and NumPy, implementing tensor operations, reverse-mode automatic differentiation, and foundational regression models.
- Developed numerical-gradient tests with Pytest to validate autograd correctness, enforced static typing with MyPy, and structured the project for open-source distribution with modern Python packaging and GitHub Actions.
Backward pass, in miniature
My framework NeuralFabric computes gradients with reverse-mode autodiff. Here is the same idea on one neuron, out = tanh(w·x + b). Move the sliders and watch each gradient (blue) flow back from the output.
Projects
- Engineered a real-time video conferencing platform using FastAPI, WebSockets, and browser-native WebRTC for live audio/video communication, screen sharing, and peer signaling.
- Implemented JWT-authenticated meeting rooms, participant management, in-meeting chat, and meeting scheduling with PostgreSQL persistence using SQLAlchemy and Alembic.
- Implemented a blockchain from scratch in pure Python, covering SHA-256 hashing, Proof of Work, ECDSA-signed transactions, transaction validation, and longest-chain consensus.
- Engineered P2P networking, persistent mempool and blockchain storage with SQLite, thread-safe HTTP communication, and a browser-based dashboard with a visual chain explorer.
- Built a decoder-only Transformer language model from scratch in PyTorch, implementing tokenization, causal self-attention, multi-head attention, residual connections, and normalization.
- Developed an end-to-end LLM workflow covering pretraining on unlabeled text, model checkpointing, text classification fine-tuning, and instruction tuning for downstream tasks.
- Developed a data-analysis pipeline for ISRO’s Aditya-L1 MAG observations, including data ingestion, filtering, and visualization of spacecraft magnetic-field measurements.
- Performed magnetic-field characterization and exploratory analysis to identify patterns and variations in the observed environment.
Education
B.Tech, Artificial Intelligence and Data Science, Jabalpur Engineering College
Aug 2025 – Jun 2029
Second Year (Sophomore)
Higher Secondary, PCM + Computer Science (CS), Stemfield International School
Apr 2011 – Mar 2025
Certifications
Machine Learning Specialization, DeepLearning.AI, Stanford University
Jul 2026
Completed coursework covering supervised learning, neural networks, model optimization and regularization.
Python for Data Science (Elite + Silver, Top 2% Topper), NPTEL, IIT Madras
Oct 2026
Earned the Elite + Silver certification with an 85% score, ranking among the top 2% of candidates nationwide in NPTEL’s Python for Data Science course offered by IIT Madras.
Awards and Honours
Finalist, RAGNAROK Hackathon (Google Developer Groups)
Jan 2026
Selected as a finalist in a competitive hackathon for technical problem-solving and rapid project development.
Technical Skills
- Programming Languages
- Python, C, C++, Java, Go, JavaScript, TypeScript, R
- Backend Engineering
- FastAPI, REST APIs, WebSockets, WebRTC, SQLAlchemy
- Databases & Caching
- SQL, PostgreSQL, MySQL, MongoDB, Redis
- Machine Learning & Data Science
- PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas
- Cloud & DevOps
- AWS, Docker, Kubernetes, GitHub Actions
- Systems & Tools
- Linux, Bash, Git, GitHub