ArtificialIntelligenceResearcher
I am a software engineer who builds reliable, high-performance systems across the stack, now deepening my focus on AI through LLMs, Safety AI, efficient AI systems, and computer vision. Beyond technology, I am drawn to history and philosophy—and spend my free time playing chess.
Current Focus
LLMs • Safety AI • Efficient AI • Computer Vision
Affiliation
IIT Guwahati, India
Total Visitors
LeetCode (1711 Peak), GFG & Codeforces
AI, systems, and full-stack builds
Shipped high-traffic engineering portals
MeitY 2022, NITS Hacks 5.0, Neurathon
Career & Experience
Production Systems & Engineering
SkillsCapital
May 2026 – Present
SkillsCapital
May 2026 – Present
Software Developer Intern
May 2026 – PresentArchitected a dynamic worker pool for resume data ingestion, scaling throughput to 5,000+ docs/hour (+40% efficiency). Cut document processing time by 45% using AWS S3 and Mammoth. Secured ingestion workflows with Clerk auth and end-to-end audit logging across 4 pipeline stages. Implemented SHA-256 hashing and containerized microservices with Docker.
WorkWithDaas.com
Jul 2024 – Jan 2025
WorkWithDaas.com
Jul 2024 – Jan 2025
Freelance Frontend Developer
Jul 2024 – Jan 2025Designed and built dedicated hiring portal frontend (10+ responsive pages), improving load time by 35% and serving 500+ candidates. Converted Figma designs into modular, reusable UI components with streamlined responsive state handling.
S.N. Bose Research Internship Program
Jun 2023 – Jul 2023
S.N. Bose Research Internship Program
Jun 2023 – Jul 2023
Research Intern
Jun 2023 – Jul 2023Benchmarked 9 classification models (Random Forest, XGBoost, Naive Bayes) on 900+ patient records, achieving 86.9% accuracy (0.89 ROC-AUC). Analyzed multimodal clinical features and presented predictive healthcare findings at the institute colloquium.
Academic Trajectory
Institutes & Scholarly Training
Rigorous engineering trajectory spanning foundational signal processing at NIT to doctoral deep learning research at IIT.
Indian Institute of Technology (IIT), Guwahati
Mehta Family School of Data Science and AI
Ph.D. in Data Science & Artificial Intelligence
Doctoral research grounded in software engineering and focused on building reliable, efficient AI systems across LLMs, Safety AI, and computer vision.
National Institute of Technology (NIT), Silchar
Department of Electrical Engineering
B.Tech in Electrical Engineering
Formative mathematical training in signal processing, systems theory, control architectures, and high-performance computing.
Technical Stack & Tooling
Technologies & Research Tooling
Core mathematical modeling toolkits, data science architectures, and engineering infrastructure.
ML & Clinical Data Mining
Backend & Databases
Languages
Frontend & Mobile
DevOps & Tooling
Responsibilities
Building teams, products, and communities
From leading engineering teams to supporting large-scale student initiatives, I enjoy taking ownership of both the product and the people behind it.
Led a 12-member development team to build E-Cell NIT Silchar’s official website from scratch using the MERN stack, including a professional interface, admin panel, and alumni connection system. Also led the web team for SriGen’23, mentoring new developers and overseeing the annual E-Summit website.
Contributed to the frontend development of the official E-Cell website, working across Node.js, Express.js, MongoDB, CSS, and EJS to deliver responsive event and organization pages.
Supported the Smart India Hackathon Finals hosted at NIT Silchar, coordinating with participating teams and helping organize activities at the institute’s nodal centre.
Contributed to Tecnoesis NIT Silchar’s official website and led the “Pitch Please” event under the Empressario module, taking responsibility for its planning and execution.
Built the SRIJAN NIT Silchar entrepreneurship summit website using Node.js, Express.js, MongoDB, CSS, and EJS. Also supported event technology and helped build collaborations with other colleges.
Worked with four other developers to build the frontend for Posua 2022, NIT Silchar’s cultural fest website, using Node.js, Express.js, MongoDB, and ReactJS.
Selected Systems & Architectures
Production Systems & AI Research
Engineered systems spanning predictive deep learning models, edge computer vision, and scalable full-stack telemetry pipelines.
Heartify
Heart disease risk severity predictor with 86.9% model accuracy using Naive Bayes deployed via FastAPI. Benchmarks p95 inference latency under 200ms across 500+ clinical profiles with real-time risk stratification.
Neurafit App
Real-time rep-counting and exercise form-tracking state machines using PoseNet landmark coordinates. Automated cadence detection improved workout adherence across a 3-week pilot with 25 active athletes.
Early Flood Warning System
Predictive flood forecasting platform with interactive geospatial maps and automated safety zones. Regression models trained on 10+ years of river water-level telemetry (76% accuracy, 0.74 F1 score). Awarded 1st Place, MeitY 2022.
CivicLens
Civic engagement platform combining crowdsourced issue reporting with AI to remove duplicate reports, classify images, identify systemic infrastructure problems, and route verified cases to local authorities. Community voting, reputation scores, and resolution tracking keep progress transparent and residents engaged.
RentFlow CRM
Property management CRM for independent landlords that replaces manual rental workflows with automated rent reminders, UPI payment webhooks, HRA-compliant receipts, OCR-powered meter splitting, tenant KYC autofill, and predictive late-payment risk insights.
NutriTrack
Responsive nutrition tracker for logging food, calories, macronutrients, and custom tags. Daily dashboards, 7-day and 30-day insights, Supabase persistence, local demo mode, and AI-generated health reports turn everyday entries into actionable recommendations.
Distinctions & Honors
Awards & Recognition
Proven track record in national competitive hackathons, academic excellence, and student engineering leadership.
Hackathon Winner
Winner of "Un-flood Assam" Hackathon (MeitY 2022) for AI crisis forecasting
GATE Qualification
GATE 2025 (CS) & 2026 (DA) qualified; secured Ph.D. admits to IIT Guwahati, IIT Kanpur, and IIT Jodhpur
Hackathon Winner
Winner of NITS Hacks 5.0 Software Track Open Statement Winner (2022)
Competitive Programming
1,000+ algorithmic problems solved across LeetCode, GFG, Codeforces. Peak LeetCode rating: 1711 (Top 3041/24,674)
Hackathon Runner-up
Runner-up at Neurathon 2023 by ML Club, NIT Silchar
Technical Leadership
Technical Head at E-Cell, NIT Silchar. Led 12-member engineering team designing and shipping official portals for 15K+ annual visitors