Experience
Adobe Inc.
4 monthsProject Intern
- •Completed a project-based work experience program focused on Adobe Express and industry-standard creative workflows.
- •Collaborated with a 4-member team to develop 5 projects and deliver 10 creative deliverables, incorporating feedback and iterative design improvements.
buildspace
4 monthsbuildspace - Nights and Weekends Programme
Remote
- •Developed an acoustic fire suppression project exploring sound-based fire control, collaborating with a global builder community to iterate on the concept.
- •Design targets: 30-100 Hz at 100-120 dB, 10-30 cm range, 5-15 s suppression time, 20-30 test trials and a 60-80% target success rate on a small controlled flame.
Technical Skills
Languages
Python, Java, C++, JavaScript, SQL
Development
Android Development, Software Architecture, AI/ML Systems, TensorFlow, Alpaca API, Quantum ML, Astropy
Cybersecurity
Secure Systems, Network Security, Threat Analysis, Data Protection, LLM Security, TLS / mTLS
Blockchain
Solidity, Ethereum, Smart Contracts, Web3.py, Hardhat, ethers.js
Tools
Git, GitHub, Linux, Android Studio, VS Code, Bash, Terraform, Jupyter, Grafana
Engineering
Robotics, Embedded Systems, Control Systems, Prototyping, MQTT, ESP32, FPGA, Isaac Sim
Projects
Aegis
| LLM Security GatewayPython, FastAPI, PostgreSQL, React
- •Built a bidirectional LLM security gateway that screens every prompt and response through 8 detectors across 3 tiers (unicode and encoding pre-processing, regex and YARA rules, ML classifiers), mapped to OWASP LLM Top 10 risks.
- •Added canary-token leak detection and a YAML policy engine (allow/sanitize/challenge/block), with Kafka event streaming, Docker deployment, a WebSocket incident console and precision/recall/F1 benchmarks on labelled attack and benign sets.
OceanEmbed
| Subsurface Ocean Reconstruction (Hackathon Project)Python, PyTorch, Geospatial ML
- •Built a physics-constrained deep learning pipeline that reconstructs ocean temperature and salinity at 18 depths (0-2,000 m) from satellite surface data, trained on 8,340 Argo profiles matched to satellite passes (Indian Ocean, 2021-2023).
- •Validated on a held-out Bay of Bengal region (1,044 profiles) and a held-out monsoon season; uncertainty bands calibrate to 81% coverage at the 80% level and 95% at the 95% level.
AI Finance Controller
| Razorpay AI Buildathon — Track 04Python, LLM Agents, Streamlit
- •Built a reconciliation agent that proves each payment-ledger mismatch with a sandboxed, re-executable script hashed into an append-only chain; on a 60-record test batch it scored precision and recall of 1.0 at about 3,700 records/sec.
- •Added a whole-batch conservation check that caught a systematic INR 175.87 ledger drift, plus a self-adversarial fuzzing layer that hunts the agent's own blind spots.
UniHealth
| Healthcare Interoperability PlatformFull Stack Development, Cyber-Security
- •Built a cloud-based healthcare interoperability platform enabling secure real-time hospital data exchange using APIs.
- •Implemented role-based access control and a scalable patient identity system for secure inter-hospital coordination.
Engram
| Company Brain for Open-Source ProjectsPython, FalkorDB, Graph Queries
- •Built a temporal knowledge graph from thousands of merged pull requests that shows who actually knows a module, why the code is the way it is, and how much unwritten knowledge leaves when a maintainer does.
- •Added what-if forks of the graph to simulate a contributor stepping away or a decision being reversed.