const bibek = {
role: "Senior Software Engineer",
experience: "5+ years (since 2018)",
companies: ["SLB Schlumberger", "Tekkon Technology", "Core Software Integrated", "FiberKnot Digital", "TechLekh"],
industries: ["Fintech", "Agritech", "E-commerce SaaS", "Scientific Computing", "Subsurface Software"],
focus: ["Event-Driven Microservices", "AWS Serverless", "Distributed Systems", "LLM Agents"],
education: "MS Computer Science, Florida Polytechnic University ( May 2027)",
research: "Published at ECSA-13, 2026",
speaker: "AWS serverless architecture talk to 100+ attendees",
openSource: true
};What I build:
- π Event-driven and CQRS microservices for fintech: 40+ services handling about 500K events a day
- βοΈ AWS serverless and infrastructure as code (Lambda, DynamoDB, API Gateway, AppSync, CDK); led a modernization that cut monthly cloud cost by about 67%
- π§ High-concurrency backends (Node.js, TypeScript, Python): 75K+ users and 15K+ concurrent connections
- π§ͺ Full-stack scientific tools: the CO2 Fast Simulator at SLB, with WebSocket-streamed progress and 55+ automated tests
- π€ Multi-agent LLM systems with RAG, evaluated against measured baselines
| πΈ ~95% fewer integration errors | Built event replay for a payment aggregate handling 10K+ daily fintech transactions |
| π° ~67% lower AWS cost | Moved infrastructure to AWS CDK and modernized the Node.js runtime (about $15K β $5K a month) |
| π¨ ~40% faster MTTR | Improved observability and incident response on production microservices |
| β‘ ~45% faster APIs | PostgreSQL query optimization and caching on high-concurrency services |
| π Graduate Teaching Assistant | Design and Analysis of Algorithms, Florida Polytechnic University |
| Project | What it is | Results |
|---|---|---|
| FinSight AI | Multi-agent fraud detection that benchmarks six LLM agent-coordination patterns | 91.2% F1 on the 6.36M-transaction PaySim dataset (vs 87.3% for a single-agent ReAct baseline); 1,150 tx/min at 3.12 s p95 |
| Urban Event-Chain Prediction | Four domain agents plus a coordinator that predict seven-day event cascades across Chicago, NYC and San Francisco | 621 labeled event chains Β· 3,825 predictions over a nine-model grid Β· seven baselines Β· paper at ECSA-13, 2026 |
| env-manager | Cross-language development environment manager: a Python CLI and daemon with a React and WebSocket dashboard | Three operating systems Β· five language ecosystems Β· 15 pluggable tool adapters Β· shipped to PyPI and Homebrew |
| Code-Smell Study | Line-level code-smell detection with a large code model and dense RAG | 0.964 micro-F1 Β· 473 expert labels across 21 smell types and four languages |
| CO2 Fast Simulator | Reservoir simulation SaaS for CO2 injection, with async jobs and P10/P50/P90 uncertainty analysis | Three unit systems Β· 55+ tests Β· deployed |
| PolyTrack (team) | Real-time microtransit telemetry: MQTT β FastAPI β WebSocket over PostGIS | Sub-second vehicle-position updates Β· deployed on AWS |
More: PointAI Β· Lyrica Β· Repo-Sprint Β· xcoder Β· cdkv2-dynamodb-seeder (npm) Β· Decentralized KYC




