AIML student focused on backend systems and applied machine learning, building systems to understand how they behave under real constraints—job orchestration engines, ML-driven developer tools, and distributed system components. Active in open source (Microcks, Meshery, kworkflow) and exploring system design fundamentals like concurrency, queues, and consistency.
Orchestrix — Job Orchestration Engine
Async job engine in Go with job lifecycle management, worker pools, retry logic, and metrics. Built to understand concurrency and failure handling in queue-based systems.
Key details:
- PostgreSQL
SELECT FOR UPDATE SKIP LOCKEDfor safe concurrent job claiming - Retryable vs permanent failure classification
- Prometheus-based observability
- Modular structure to avoid circular dependencies
PRISM-AI — PR Risk Analysis Agent
GitLab AI Hackathon project.
System that analyzes pull requests and generates structured risk summaries before review using static analysis + heuristic scoring + LLM output.
Pipeline: AST (tree-sitter) → dependency graph (NetworkX) → risk scoring → LLM summary → reviewer hints
SolanaStreaks — Prediction Market Prototype · Live
On-chain prediction market prototype built with Rust/Anchor and a Next.js frontend.
- Microcks — Contributions in API mocking/testing ecosystem
- OpenTelemetry — Contribution under review
- kworkflow — Linux workflow tooling contributions
- Meshery / Layer5 — Contributor, earned First Design badge
- Hacktoberfest 2024 — 4 PRs merged
| Domain | Stack |
|---|---|
| Languages | Go · Python · TypeScript |
| Familiar With | C · C++ · Rust |
| Backend | REST APIs · Worker pools · PostgreSQL · Docker · Prometheus |
| ML & AI | Scikit-learn · LSTM · spaCy · Claude API |
| Exploring | Distributed systems · Kafka / Redis · Linux |
- Extending Orchestrix (Redis/Kafka queues, priority scheduling)
- Studying distributed systems (Raft, consistency models)
- Contributing to Microcks, OpenTelemetry, kworkflow
Stats reflect public repository activity.