I'm a Computer Science student at IIIT Kottayam (CGPA: 9.36) with industry experience building production systems — from relational data explorers at DevRev to Redis-compatible databases from scratch. I enjoy working across the stack, with a focus on systems programming, backend infrastructure, and developer tooling.
- 🔭 I'm currently working as an MTS Intern at DevRev, building dashboarding features and developer tools.
- 🌱 I'm currently deepening my knowledge in systems programming and distributed systems.
- 💬 Ask me about C++, TypeScript, Python, Systems Design, and Data Structures & Algorithms.
- 📫 How to reach me: itssreevardhan@gmail.com
- 🌐 Portfolio: portfolio
January 2026 – Present
- Developed a relational data explorer that lets users traverse linked entities in dashboards with lazy-loading and cycle prevention, powering no-code data discovery for enterprise accounts.
- Designed dev-instrument, a build-time tracing tool that captures execution paths and feeds them to a generative-AI module, enabling engineers to pinpoint root-cause bugs without manual log analysis.
- Shipped 15+ dashboarding features including custom aggregations and validation UX, resolving widget and page crashes affecting enterprise customers.
June 2025 – August 2025
- Unified web scrapers and an auto-tagger that ingested ~2.5k coding problems from 100+ sources, cutting manual triage time from hours to minutes for the content team.
- Containerized production services with health checks and rolling restarts, maintaining 99%+ uptime over 30 days and meeting enterprise reliability SLAs.
June 2024 – October 2024
- Architected a security analytics service that parses network logs against custom rule sets, surfacing threat alerts with 97% precision and reducing false escalations for the SOC team.
- Built an ETL pipeline processing 2M+ records with validation layers that flag malformed entries before loading, improving downstream data quality and analyst throughput by 30%.
C++, POSIX Syscalls, TCP/IP, kqueue, RESP2 Protocol | GitHub
- Constructed a Redis-compatible in-memory database with a single-threaded kqueue event loop handling 500 concurrent connections, achieving ~130K SET and ~150K GET ops/sec with sub-millisecond p99 latency.
- Implemented dual persistence — RDB snapshots via fork() with copy-on-write and an append-only write-ahead log with configurable fsync — enabling crash recovery without blocking clients.
- Built a RESP2 wire-protocol parser, polymorphic storage engine (strings, lists, hashes, sets), pub/sub messaging, and TTL-based key expiration with lazy and active eviction strategies.
React, Django, Python, Docker, EC2 | GitHub | Website
- Engineered a sandboxed code executor that runs user submissions with CPU/memory limits and returns 5 verdict types, preventing malicious code from escaping the execution environment.
- Composed an error diagnostics module that enriches compiler output with readable stack traces and fix suggestions, cutting user debug time by 60%.
Python, Flask, NLP, React | GitHub | Website
- Trained a skill-extraction model that parses resumes into structured skill profiles, enabling automated matching between candidates and open roles.
- Delivered ranking endpoints that match candidates to roles with 90% relevance, surfacing 5–10 missing skills per applicant.
- LeetCode Top 1.69% (Rating: 2,077) — Profile
- CodeChef 4-Star (Rating: 1827) — Profile
- Codeforces Specialist (Max: 1545) — Profile
- IICPC Rank 565 / 47,000+ Participants — Certificate
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