Mohammad Abdul Kalam Hussain
AI/ML Developer | Full-Stack Engineer | Data Science
Warangal, Telangana, India
I build AI-powered software for real-world problems—from satellite-based environmental intelligence to offline-first workflows and media verification. I’m a Computer Science Engineering student specializing in Data Science at Kamala Institute of Technology & Science. I work with Python, TypeScript, React, FastAPI, Node.js, and machine learning to turn ideas into working prototypes. My projects span mobile workflow systems, commercial governance, geospatial analysis, and experimental media verification. I’ve also worked as an Agentic AI Intern at BrainOVision Solutions India and contributed to student technology communities and hackathon organization. I care about building systems that are useful, testable, explainable, and honest about their limitations. Explore my projects below.
Agentic AI Intern
BrainOVision Solutions India
- Designed and tested AI-agent workflows for business use cases, translating stakeholder requirements into practical technical implementations. Used stakeholder feedback to identify an overengineered workflow and simplify the pipeline for clearer, more usable outputs. Iterated through testing and feedback to balance technical complexity with user needs.
Lead Organizer
Code Zero × GeeksforGeeks
- Designed and coordinated a two-phase hackathon for 60+ students focused on practical problem-solving. Built the registration portal using Google Apps Script, a live database, and UTR verification. Coordinated event logistics, participant communications, and execution while resolving operational issues under time constraints.
Google Student Ambassador
Google Gemini
- Supported student learning around AI and large language models through practical workshops, demonstrations, and technical community activities. Adapted learning sessions based on participant feedback, with greater emphasis on building working applications and applying concepts to real problem statements.
ECHO — Evidence Capture & Handoff Orchestrator
Built an Android-first workflow prototype that turns field photos and voice notes into structured, evidence-linked action packets. Implemented an operator review and approval gate, task-state transitions, local persistence, closure evidence, and exports for desktop handoff. The repository documents physical-device verification of camera capture, evidence traceability, and the core workflow operating offline.
Developed a commercial governance system that evaluates discount policies, deal margins, approval requirements, inventory fulfillment, and recurring billing across the deal lifecycle. Implemented server-enforced business rules, approval state transitions, and audit logging. The repository documents automated test coverage, including a badge showing 175 passing tests.
Built a geospatial intelligence prototype for identifying potential illegal sand-mining hotspots using satellite imagery, machine-learning risk prediction, and map-based analysis. Integrated a FastAPI backend, hotspot clustering, explainability features, and field-planning workflows. Project documentation reports a 0.91 AUC on 200 records; this is a documented prototype result, not evidence of validated real-world enforcement accuracy.
Developed an offline media-authenticity prototype exploring multimodal deepfake detection. Combined facial geometry, spectral audio features, temporal consistency checks, and remote photoplethysmography (rPPG) signals, with an explainability-oriented reporting interface. Designed the architecture around local inference and hardware-acceleration integration points for privacy-sensitive use cases.
Built a climate digital-twin prototype focused on the Hyderabad Metropolitan Region, bringing together gridded rainfall, temperature, and satellite land-surface data for spatial analysis and decision support. The project combines a web interface, a Python API, geospatial data handling, and forecasting and scenario-analysis components. The repository identifies itself as a prototype, so claims of forecast accuracy or operational deployment should be made only when supported by measured results.
Bachelor of Technology in Computer Science Engineering with specialization in Data Science
Kamala Institute of Technology & Science · CGPA: 7.98/10
AWS Academy Graduate — Data Engineering — Training Badge
AWS Academy
Apr 2026International Level Bootcamp on DSA for DeepTech — Participation Certificate
Brainovision Solutions India, AICTE and KITS-associated program
May 2026QuizOff 2026: India's Biggest AI Quiz — Participation Certificate
CampusCrew · Platform: Unstop
Jul 2026Solution Challenge 2026: Build with AI — Participation Certificate
Build with AI, powered by H2S
Jul 2026Bharatiya Antariksh Hackathon 2026 — Participation Certificate
Presented by ISRO · Powered by Hack2skill
Jul 2026HackWithHyderabad 3.0 — Participation Certificate
Hack With India × Devnovate
Oct 2026RINEX · Entrepreneurship Cell, IIT Bhubaneswar
Jul 2026
Attendee · Oct 24, 2026