NSUT Delhi - B.Tech CSE '28 - New Delhi, India
I make software that holds up when things break.
Engineer by training, builder by habit. I like the parts of systems nobody photographs - the ledgers, the evals, the query plans. Currently deep in agentic AI and backend infrastructure.
01 - Selected Work
A few things I've built.
A network intrusion detection system - 78 flow features per event, XGBoost separating 13 attack classes, live alerts streamed over WebSockets.
GitHub ↗A guardrailed message-composition service for a merchant AI assistant - validation gates, three-tier fallback chain, deployed on AWS.
GitHub ↗GSoC issue monitor - tiered GitHub polling, rule-based scoring, AI two-line summaries, Telegram alerts.
GitHub ↗LEO satellite tracking and analysis tooling - my work on the data pipeline and visualization layer.
GitHub ↗Sovereign AI auditor - weight fingerprints over 10+ GB models, PCA lineage clustering, GPU memory tuning.
GitHub ↗A cognitive ad-testing environment - simulated audiences, RL-driven creative selection.
GitHub ↗02 - Capabilities
What I do, in quiet detail.
Backend systems
REST APIs and event-driven services in Python - FastAPI, PostgreSQL (schema design, RPC, triggers, query optimization), Redis, WebSockets. The unglamorous layers where correctness lives.
Agentic AI
LLM systems with deterministic guardrails - rules-first diagnosis, expected-value decision ranking, evaluation design, and fallback chains. The model is the easy ten percent; the system around it is the work.
Optimization
Constrained scheduling and decision problems - OR-Tools CP-SAT under hard time budgets, deterministic fixed-seed simulation, reproducible evaluation pipelines.
Competitive Programming
Codeforces Expert (1600+), LeetCode 1650+, 500+ problems solved in C++ - daily problem-solving at contest-grade speed. The problem-solving core that everything above sits on.
Quant Research
WorldQuant BRAIN, Gold level - alpha signal ideas built and iterated through real backtesting discipline. Pattern-hunting in noisy data is the same muscle my detection and eval work trains.
Ship & operate
Docker, CI/CD with real test suites, AWS EC2 deploys, Linux as a daily driver. Code that passes review, and systems that survive contact with users.
03 - Credentials
Proof, not promises.
50+ issues resolved across the open-source ecosystem
Issue triage, reproduction, fixes and test coverage contributed across Apache, Kubernetes, LLVM, ArduPilot, Django, Linux, Blender, Dart, Ceph and Checkstyle - reading large unfamiliar codebases is the core skill, and it runs deep.
Crawler performance + WARC integrity
Replaced a quadratic metadata-append path with a single bulk write on the hot crawling loop, and hardened WARC record serialization against CR/LF injection in metadata fields.
Scheduler + admission docs and fixes
Worked through the scheduler and admission-control surface - documented MutatingAdmissionPolicy behavior, fixed stale anchors and API-reference regressions across the cluster-administration pages.
CMake host-triple handling
Special-cased HarmonyOS hosts in get_host_triple() so cross-builds configure correctly instead of falling through to generic triples.
AP_Notify LED driver extension
Added a StandardSwappedRedGreen LED override to the notification backend - boards with swapped polarity now get correct status colors without hardware changes.
Triage across six more ecosystems
Issue reproduction and targeted fixes - from ORM edge cases and kernel-side behavior reports to Blender Python API quirks, Dart tooling, Ceph operator manifests and Checkstyle rule regressions.
04 - Terminal