I'm Saptarshi Sadhu
AI & ML Researcher | Systems Engineer | Open Source Maintainer
|
Computer Science undergraduate specializing in AI & ML at Adamas University, with research spanning Healthcare AI, Neurotech, Environmental Data Science & Edge AI. Lead Maintainer of EaseMotion CSS — 25,424 merged PRs & 704 contributors in GSSoC '26.
About Me
Designing systems where software, data, and intelligence converge.
Academic Foundation
Computer Science undergraduate specializing in Artificial Intelligence & Machine Learning at Adamas University, Kolkata. Maintaining a CGPA of 9.30 / 10.00 with coursework in Machine Learning, AI, DSA, Operating Systems, DBMS, Computer Networks, and Probability & Statistics.
Healthcare & Bio-AI
Deeply focused on AI for Asthma & Respiratory Health, Brain Research, Neurotech, and Depression Mitigation through data-driven computational models.
Open Source Leadership
Lead Maintainer & Systems Architect of EaseMotion CSS Framework under GSSoC '26. Scaled codebase to 25,424 merged PRs & 704 contributors. Ranked #3 Private Committer in India on Committers.top.
Urban Air Quality Research
Lead ML Researcher on CAAQMS continuous monitoring across 13 stations (~19.1M data points). Engineered PyTorch LSTM recurrent networks and spatial autocorrelation (Moran's I) modeling VOCs, NOx, and O3 concentrations with R² > 0.87 for next-day air quality forecasting.
Long-Term Vision
My goal is to advance reliable, scalable, and impactful intelligent systems for healthcare, environmental science, and distributed software engineering through the integration of academic research and production software architecture.
Key Highlights
Academic Record
B.Tech CSE (AI & ML)
Class XII (Pure Science PCMB)
Class X (WBBSE)
Open Source & Ranks
HackerRank Ratings
Technical Proficiency
Skills & Tech Stack
terminal Programming Languages
core · systems · mobile
language Web Technologies
frontend · frameworks · ui
database Databases & BaaS
storage · realtime · persistence
dns Backend Frameworks
apis · servers · microservices
handyman Tools & Platforms
dev environment · productivity
cloud Cloud Infrastructure
deploy · scale · distribute
science Machine Learning Research
Urban Air Quality Prediction · VOCs, O₃, NOx
track_changes Current Focus
AI × backend engineering × scalable systems
Featured Engineering & Research Projects
Projects & Frameworks
EaseMotion CSS Framework
Lead Maintainer & Systems Architect under GSSoC '26. Scaled codebase to 25,424 merged PRs, 62,001 commits, and 704 contributors in 50 days (avg 407 PRs/day merged (avg)). Engineered Honeypot Sandbox Anti-Spam routing and optimized GitHub Actions CI/CD validation runtime to < 25 seconds. Ranked #3 Private Committer in India on Committers.top.
Multilingual AI vs Human Text Detector
Developed a real-time AI vs human text detection system supporting 5 languages during the AI Impact Summit Buildathon (HCL GUVI). Engineered NLP classification logic and maintained 6+ days continuous uptime via ngrok tunneling.
CivicIssue Dashboard
Developed a full-stack MVC application integrating bcrypt password hashing, session management, input validation, and protected routing for city-level civic complaint reporting.
Multi-Source Weather Forecast App
Built an asynchronous weather forecasting tool featuring a backend proxy server to prevent API rate-limiting, custom caching layers, and automated fallback endpoints.
Techtonics — AI Assisted Coding Platform
Developed an interactive learning platform connecting real-time AI tutor APIs to guide beginners with step-by-step logic breakdown and syntax diagnostics.
Personal Portfolio Website
Designed and engineered a dual-mode portfolio (3D WebGL Immersive & High-Performance Editorial Static) featuring vanilla orbital physics, glassmorphism, and 100/100 Lighthouse performance.
Academic Output
Research & Manuscripts
Ozone Photochemical Regimes and Particulate Transport in Kolkata and Howrah
Argha Kamal Guha, Saptarshi Sadhu, Chirag Deb
Analyzed ground-level ozone formation, precursor titration dynamics (NOx/VOC), and PM2.5 transport corridors across urban airsheds.
A Statistical Distribution, Spatial Autocorrelation, and Recurrent Neural Network Framework for Air Quality Forecasting in Kolkata--Howrah
Argha Kamal Guha, Saptarshi Sadhu, Susmit Bagchi, Chirag Deb
Proposed a multi-tier PyTorch LSTM recurrent neural network and Moran's I spatial autocorrelation framework evaluated on ~19.1 million 15-minute CAAQMS data points ($R^2 > 0.87$).
Assessment of Particulate and Gaseous Pollution and its Statistical Distribution: Barrackpore Municipality
Argha Kamal Guha, Enubothula Bala Mani, Piyush Raj, Navnit Kumar, Saptarshi Sadhu, Snehamanju Basu
Analyzed criteria pollutant probability distributions (Weibull, Log-normal, Gamma) and Kolmogorov-Smirnov goodness-of-fit in industrial suburban Kolkata.
Enhancing Micro Electrochemical Spark Machining of Exotic Non-Ferrous Materials through On-Process Electrolyte Sonication
Co-authors, Saptarshi Sadhu (4th Author)
Investigated ultrasonic sonication parameters on electrolyte flushing dynamics and spark discharge stability during micro-machining of non-ferrous alloys.
Open to Opportunities
I’m currently looking for opportunities where I can contribute, learn, and build real-world systems. I enjoy working on backend development, problem solving, and scalable applications.
Track Record
Achievements & Leadership
Milestones, awards, and organizational leadership roles.
Honors & Competitions
- July 2026 ACM Summer School at IISc Bangalore: Selected participant for the ACM Summer School program at IISc Bangalore.
- May 2026 Google Student Ambassador (2026): Selected campus representative to lead technical programs and AI workshops.
- 2026 Ranked #3 Private Committer in India: Recognized on Committers.top Private & Public.
- April 2026 4th Place Coding Premier League: Top finish in algorithmic competitive programming.
- February 2026 AWS College Showcase: Selected among top 7 university teams for cloud innovation.
- Mar 2025 Clash of Coders 2.0 Finalist: Algorithmic problem-solving finalist finish.
Leadership & Exposure
- Apr 2026 -- Present Publicity Chair — ACM Student Chapter: Drove 30% growth in attendance and managed tech seminars.
- Mar 2026 -- Present Student Coordinator — IETE Chapter: Primary student-faculty liaison managing 200+ member chapter.
- Oct 2025 -- Present Class Representative (CR): Advocated academic resources and resolved concerns for 60+ CSE undergraduates.
- 16th April 2026 TCG CREST Quantum Lab Visit (CQuERE): Academic visit exploring quantum algorithms.
- 16th October 2025 CTRLS Enterprise Data Centre Visit: Industrial visit examining enterprise server architecture.
Let's Connect
Open to collaborations, projects, and meaningful conversations.
Let’s build something meaningful.