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SHREYASDEB

Undergraduate researcher & developer working across AI, systems biology and the low-level guts of computers.

MS DUAL DEGREE · COMPUTATIONAL NATURAL SCIENCES
FOURTH YEAR · IIIT HYDERABAD

Shreyas Deb
FIG.01THE ME
(01)WHOAMI

ABOUT

Always open to learning new stuff. If it's complex, I'm interested.

01The Academic

An MS Dual Degree student in Computational Natural Sciences at IIIT Hyderabad, where my world revolves around the beautiful chaos of computing. I work as an Undergraduate Researcher under Professor Vinod P K, exploring the intersection of systems biology and deep learning.

02The Engineer

A builder at heart. Physics & mathematics are my playground. My interests span the whole computing spectrum — from the low-level logic of kernels & operating systems to the high-dimensional latent spaces of deep learning.

03The Human

When I'm not debugging a segfault or training a model, you'll find me gaming, watching anime, on the basketball court, or — inevitably — hopping to yet another Linux distro.

OFF THE CLOCK — DRAG ME ↓
Gaming
Anime
Basketball
Distro-hopping
(02)TIMELINE

EXPERIENCE

WORK
01

Undergraduate Researcher

Center for Computational Natural Sciences and Bioinformatics (CCNSB)

  • Conducting research under Dr. Vinod P K, focusing on computational modeling of complex biological systems through Systems and Network Biology.
  • Investigating the intersection of Deep Learning and Network Biology to decipher emergent disease mechanisms and predict clinical outcomes for precision medicine.
Aug 2025 – Present
Hyderabad, Telangana
02

AI/ML Engineering Intern

MontyCloud

  • Built a production-grade Agentic Suite for Product Management (PM360), including a Spec Writer, Meeting Analyzer, and Product Value Agent — increasing PM efficiency by 40%.
  • Designed multi-agent LLM systems using GraphRAG pipelines grounded in a Neo4j Knowledge Graph with temporal memory and vector search.
  • Achieved 80%+ reduction in spec creation time and 90%+ spec accuracy; deployed globally across US, EU, and India.
May 2025 – July 2025
Bengaluru, Karnataka
03

Software Engineering Intern

uExcelerate

  • Developed a scalable Learning Management System with enhanced UI and personalized content delivery, increasing user engagement by 35%.
  • Designed a modular recommendation system using hybrid filtering techniques, achieving 80%+ recommendation accuracy.
Jan 2025 – April 2025
Hyderabad, Telangana
04

Front-end Development Intern

Texperia

  • Optimized the frontend architecture for the Playda platform, achieving a 32% reduction in average page load time.
  • Contributed to the U.S. market expansion initiative, directly supporting a projected 40% increase in user acquisition.
Jan 2025 – Feb 2025
Bengaluru, Karnataka
LEADERSHIP

Tech Team Head

Aug 2024 – April 2026

E-Cell IIIT Hyderabad

  • Spearheaded technical operations for the Entrepreneurship Cell, maintaining official server infrastructure and ensuring 98% uptime.
  • Managed the technical team for Megathon, the largest student-run hackathon in Hyderabad, overseeing registration portals and live event dashboards.

Project Manager and OSS Maintainer

March 2025 – April 2026

Open Source Developers Group (OSDG)

  • Maintain Whispr, a privacy-first review platform utilized by a campus of 1,000+ students to access anonymous feedback on 200+ courses and 100+ professors.
  • Drive the campus open-source ecosystem by organizing technical workshops and managing student-run repositories.

Teaching Assistant

Aug 2025 – May 2026

IIIT Hyderabad

  • Served as a Teaching Assistant for Automata Theory (Monsoon 2025 H1), Data and Applications (Monsoon 2025 H2), and Introduction to Software Systems (Spring 2026).
ACHIEVEMENTS
2026

Atlassian FastTrack Winner

Atlassian

Selected as a winner among 300+ eligible candidates and received a Pre-Placement Interview (PPI) offer.

2025

Action Plan Finalist

IIT Bombay

Selected as Top 25 finalist from 3000+ entries at Action Plan — the flagship social entrepreneurship event of Abhyuday, IIT Bombay's Advitya Social Fest.

2025

Most Impactful Award

HackIIIT

Won the Most Impactful award at HackIIIT 2025 for Saathi, an AI-powered mental wellness platform.

Monsoon 2024

Dean's List III

IIIT Hyderabad

Awarded Dean's List III recognition for exceptional academic performance (top 15%).

Monsoon 2024

Merit List

IIIT Hyderabad

Recognized on the Merit List for outstanding academic achievement (top 20%).

(03)THE STACK

ARSENAL

FROM KERNELS TO MODELS — THE WHOLE STACK08 DOMAINS / 61+ TOOLS

01

Languages

[09]
CC++PythonRustGoTypeScriptJavaScriptSQLBash
02

Systems & Low-Level

[08]
POSIX APIsSocket ProgrammingMultithreadingLock-free StructuresMemory ManagementTCP/IPLinux Kernelx86 / RISC-V Asm
03

Backend

[07]
FastAPIFlaskNode.jsExpress.jsGraphQLREST APIsSupabase
04

Frontend

[06]
ReactNext.jsSvelteTailwind CSSFramer MotionVite
05

Databases

[06]
PostgreSQLMySQLMongoDBRedisNeo4jDynamoDB
06

AI / ML & Data

[09]
PyTorchTensorFlowscikit-learnNumPyPandasLangChainRAG / GraphRAGVector DBsOllama
07

Cloud & DevOps

[07]
AWSAzureDockerKubernetesGitLocalStackCI/CD
08

Foundations

[09]
Operating SystemsComputer NetworksDistributed SystemsData Structures & AlgorithmsComputer ArchitectureSystem DesignStatistical Methods in AILinear AlgebraProbability
(04)SELECTED

PROJECTS

16 shipped builds spanning distributed systems, quant research, and applied ML — the full index lives on its own page, with search that actually understands what you're looking for.

VIEW ALL PROJECTS
01

Natsuki

Hybrid BM25 + dense retrieval search engine built from scratch (no IR library dependency), with a LambdaMART learned reranker and LLM query expansion on top. Validated end-to-end on BEIR/SciFact against real relevance judgments — each stage (bm25 < dense < hybrid < rerank) shows a clean, honestly-measured improvement, including an A/B test where query expansion was found to hurt more than it helped.

PythonInformation Retrieval
02

Apollo

Event-driven, temporal enterprise knowledge graph with an agentic workspace on top. Watches an issue tracker and wiki via webhooks, extracts entities with an LLM, resolves them against a canonical graph, and writes bi-temporal facts to Neo4j — every edge knows both when it became true and when Apollo learned it. An MCP server enforces an unbypassable permission filter over every graph query.

PythonNeo4jLangGraph
03

Pairs Trader

Modular statistical arbitrage engine for NSE equities. Cointegration-based pair selection (Engle-Granger plus PCA/DBSCAN clustering), a rolling-OLS or Kalman-filter spread model, z-score or XGBoost-gated signals, and a bar-by-bar backtester with transaction costs — exposed via CLI, an interactive TUI, and a set of guided notebooks, backed by 112 tests.

PythonCointegrationKalman Filter
04

Strat Backtester

Pluggable options backtesting engine for NSE index derivatives (NIFTY, BANKNIFTY) built on a month of tick data. Ships a Streamlit dashboard, PDF tearsheet export, and a full risk-metrics suite — Sharpe with bootstrap confidence intervals, VaR/CVaR, drawdown analysis, and more — with strategies plugging into a common BaseStrategy interface.

PythonStreamlitPandas
05

Cuffka — Kafka with Raft

A ground-up reimplementation of Apache Kafka in Go: a distributed pub-sub message broker backed by a Raft-based controller quorum (KRaft-inspired) with automatic leader election, append-only partitioned commit logs, and consumer-group coordination. Ships a full admin CLI for topic management, producing, and consuming — built directly from the original Kafka and Raft papers.

GoRaftDistributed Systems
06

AIshA

Unix shell implementation in C with integrated Gemini AI capabilities. Features include natural language command translation, command explanation, AI chat, custom readline implementation using termios (no ncurses), 40+ built-in commands, job control, background process management, and tab completion. Built entirely with POSIX APIs and raw OpenSSL sockets for HTTPS without external dependencies.

CPOSIXOpenSSL