Subarna Saikia
I build backend systems that think.
GenAI · Distributed Systems · Developer Tooling
About Me
I wrote my first line of code at 17. I haven't stopped since.
It started with competitive programming — late nights on CodeChef and Codeforces, learning to think in algorithms before I even knew what a framework was. When I joined my B.Tech program in 2022, I didn't rush into web dev tutorials like most. Instead, I went lower. Much lower.
I built Space Invaders. Then Snake. Then a fully functional Chess Engine in C++ with bitboard representation and an AI bot — all from scratch. That phase taught me something most developers never learn: how machines actually think.
From there, the trajectory was natural — backend systems, distributed architecture, and eventually the intersection I'm most excited about: Generative AI meets production engineering. Today I architect pipelines where LLMs aren't just demos — they're load-bearing components of real systems.
I'm a systems thinker first, an engineer second, and a problem-solver always.
Where I've Worked
Pocket FM
Software Engineer Intern
January 2026 – Present
Bengaluru, India
- ▸Architected an end-to-end automated data ingestion pipeline using WhisperX and Pyannote-Audio — generating speaker-diarized transcripts with word-level timestamp precision for large-scale audio content.
- ▸Built scalable web crawlers for automated multimedia data acquisition, eliminating ~60% of manual data curation effort and unlocking faster model training cycles.
Automatic Data Processing (ADP)
SDE Intern
July 2025 – September 2025
Hyderabad, India
- ▸Designed an event-driven consistency mechanism using Spring Boot + Apache Kafka to synchronize deletions across payroll worksheets and time-off records — zero data drift across services.
- ▸Built a high-throughput async consumer service for data purging that achieved 100% data integrity across distributed microservices.
- ▸Optimized multi-level SQL joins to detect and eliminate orphaned records, cutting query execution time by ~40%.
The LNM Institute of Information Technology
Undergraduate Research Intern
June 2025 – July 2025
Remote
- ▸Conducted research on Protein Secondary Structure Prediction using deep learning — benchmarked BiLSTM and DeepCNF architectures against traditional ML baselines.
- ▸Achieved Q3 Accuracy of 91.55% through systematic hyperparameter tuning on complex biological sequence datasets.
Things I've Built
A selection of projects across backend systems, AI/ML, and developer tooling.
Genesis
A production-grade NLP annotation platform for coreference resolution — built as a modular monolith with enterprise-level architecture.
NoteX
An AI-native note-taking app that doesn't just store your notes — it understands them. Semantic search, auto-revision, and dynamic quizzes powered by LangChain + OpenAI.
Solar Efficiency Prediction
Ranked Top 25 globally (out of 1500+ teams) in the Zelestra × AWS ML Ascend Challenge. An ensemble ML pipeline for predicting solar panel efficiency from noisy sensor data.
Chess Engine
A fully functional chess engine built from the ground up in C++ — bitboard representation, SDL2 GUI, and an evolving AI bot. The project that proved I could build anything from scratch.
Get In Touch
Let's build something remarkable.
Whether you have a role, a project, or just want to talk systems and AI — my inbox is always open.
Typically reply within 24 hours.