• Researched sensor failure modes in noisy environments and developed an adaptive framework (CAAEHF) to detect anomalies in real time.
• Combined temporal modeling with reinforcement learning to filter sensor noise and prevent faulty data from cascading downstream.
Sayak Bhattacharyya
Summary
Software developer and M.Tech CS scholar at Techno Main Salt Lake (8.00 CGPA; 9.13 B.Tech distinction). I build fast, clean web applications with React, TypeScript, and Node.js, solve algorithmic problems in Java, and research self-healing error handling in distributed IoT systems. Focused on building reliable software that feels great to use.
Research & Academic Papers
• Conducted a meta-analysis on how particulate pollutants (PM2.5, PM10, NO2, SO2) elevate risk for asthma and COPD across published clinical studies.
• Wrote automated data-cleaning pipelines and fitted random-effects meta-regression models to quantify health risks across diverse populations.
Featured Projects
• Engineered a browser-based desktop OS with draggable windows, customizable themes, start menu, virtual filesystem, and native arcade games.
• Maintains smooth 60 FPS window dragging and canvas rendering with zero external UI libraries, keeping total bundle size under 45 KB.
• Developed a fast link utility generating branded short URLs, real-time click tracking, and scannable vector QR codes.
• Engineered sub-100ms redirection latency and achieved a 98+ Lighthouse score via client caching and atomic state updates.
• Built an all-in-one personal productivity OS combining habit streak tracking, expense accounting, workout logging, and private daily journaling.
• Implemented zero-latency offline persistence, managing 1,000+ local transaction entries with instant sub-10ms query responses.
Education
Technical Skills
Soft Skills
• Clear & Direct Technical Communication
• Collaborative Teamwork & Mentoring
• Rapid Prototyping & Code Ownership
Languages & Interests
• Interests: Street Photography · Playing Guitar · Creating Music
Hi, I am Sayak. I build fast web apps, explore distributed systems, and research resilient IoT architectures.
I'm an M.Tech student in Computer Science at Techno Main Salt Lake, Kolkata (CGPA 8.00 / 10), after graduating with distinction in B.Tech CSE from MAKAUT (9.13 DGPA). Day to day, I work across the full stack with React, Node.js, and TypeScript, solve algorithmic challenges in Java, and research ways to help sensor networks automatically self-heal when hardware readings go haywire.
Research & Academic Papers
Education & Research ↗Real-world IoT sensor networks frequently drift, glitch, or drop noisy readings. For my Master's thesis, I developed the Context-Aware Adaptive Error Handling Framework (CAAEHF) to catch anomalies in real time using context modeling and residual analysis, triggering automated recovery routines before corrupted data cascades to downstream applications.
Investigated the quantifiable health impact of ambient particulate matter (PM2.5, PM10, NO2, and SO2) on chronic respiratory illnesses like COPD and asthma. Built automated data-cleaning pipelines and fitted random-effects meta-regression models across multi-regional clinical records to evaluate heterogeneity and uncover high-risk exposure thresholds.
Currently Building
A deep strategy simulation exploring the complex, often messy realities of governing a modern nation. You balance the national budget, enact landmark civil policies, manage geopolitical relationships, and make high-stakes decisions when unexpected crises threaten national stability.
Say Hello
Whether you'd like to talk about a software engineering opportunity, collaborate on IoT and systems research, bounce around an idea for a web project, or just connect — my inbox is always open.
Reach me directly at sayak.helan@gmail.com or connect on LinkedIn.