Mohammed Aashik

Computer science · AI/ML · Chennai, India

I build data-driven software that makes complex evidence usable, from real-time analytics and retrieval systems to explainable machine learning.

ENGINEERING PORTFOLIO

Engineering reliable systems.

Final-year Integrated M.Tech student in Computer Science Engineering (Business Analytics) at VIT Chennai. Exploring quantum information and computing alongside work in machine learning, backend systems and applied research.

Abstract editorial illustration of intersecting computational waveforms and nodes

Selected work

Applied work across machine learning, retrieval systems, security and full-stack engineering.

01

UPI Fraud Detection System

Risk analytics · Python, scikit-learn, SHAP, FastAPI

A fraud-detection ensemble applied to 7.2M+ transactions, combining statistical forensics with explainable predictions. Reported results include 97.3% detection accuracy and sub-100ms API latency at 850+ TPS.

02

Fact Layer

Evidence-grounded document analysis · Python, SQLite, LLMs

Extracts structured facts from financial and macroeconomic PDFs and ties claims back to quotations and PDF coordinates. A deterministic gate checks period, scope, unit and issuer before comparing documents.

03

Vertisa AI

Legal retrieval · FAISS, BM25, Legal-BERT, GraphRAG

Hybrid dense and sparse retrieval using Legal-BERT embeddings with FAISS and BM25 at a 60/40 ratio. Clause-aware chunking, recursive GraphRAG and confidence-scored self-reflection help produce cited answers and reformulate low-confidence queries.
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04

Recovery Value Engine

Decision systems · Python, FastAPI, React

Scores recovery strategies for failed payments with business guardrails. Reported results include 128 passing automated tests against Razorpay test-mode APIs.

05

DrugForge

MLOps · Python, scikit-learn, MLflow, Docker

A molecular-data ETL and feature-engineering pipeline with tracked model evaluations, typed FastAPI endpoints and a React interface. Includes Intel OneAPI-based molecular property prediction.
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06

QACL

Post-quantum security · Solidity, TypeScript, Python

A research blockchain framework combining lattice-based cryptography, validator privacy and consensus experiments, with a Sepolia testnet deployment documented in its repository. Post-quantum cryptography protects against quantum attacks; it is not itself a quantum-computing implementation.
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07

AgriTrust

Agricultural traceability · Ethereum, Solidity, React, Node.js

A blockchain-based workflow for farm-to-consumer provenance, intended to make agricultural supply-chain records transparent and tamper-resistant.
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08

PawTrack

Civic operations · FastAPI, Next.js, TypeScript, PostgreSQL

A stray-dog care platform connecting field reports, GPS telemetry and operations data. Includes 50+ REST routes and a report-tagging and deduplication workflow.
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09

Game-Blitz / QuizMaster

Real-time learning · React, Supabase, PostgreSQL

A quiz platform with code-based joining, live leaderboards and instant scoring, using Supabase realtime and PostgreSQL row-level security.
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Commercial work

Commercial websites for sport, retail and community organisations.

01

TRI2CHAMP

A multi-sport training academy website with athlete-registration flows and Razorpay payment integration.
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02

Collections Gift Store

A gift-store catalog with filtering, search-friendly pages and WhatsApp lead generation.
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03

Karnan Charitable Trust

A charity website with structured content and donation-focused information.
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04

Trysupps

An e-commerce storefront for sports nutrition and health supplements, with product categories and an online shopping catalog.
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Experience

01

Software Intern · Sustainabyte AI Technologies

May–July 2025 · Chennai. Built Python/FastAPI services for energy time-series ingestion, anomaly detection and load forecasting, plus a React/Redux analytics dashboard. Reported results include a 30% reduction in operational analysis time.

02

Summer Intern · CODIIS, IIT-M Research Park

June–July 2024 · Chennai. Designed an indexed SQL schema and metadata lineage layer for manufacturing data; developed an edge-optimized YOLOv8 pipeline for classification and evaluation.

Leadership & recognition

Campus leadership, research initiatives and competitive engineering.

Campus leadership
Chairperson, Student Sustainability Development Cell, VIT Chennai. Led a 45-member team on energy conservation, water recycling and waste-management initiatives.
Community
Google Student Ambassador · IBM Qiskit Advocate
Hackathons
1st place: Hack2TechSustain 2.0 (MIT Chennai) and QTUXATHON 3.0 (Sai Ram College). 2nd place: HackTheVibe 2026. Finalist: IEEE YESIST12 2025 Grand Finale, Malaysia. 6th place: Innovate CARLO RINO 2024.
Patent application
Buoy System for Algae Monitoring. Indian Patent Office application no. 202541019392. Patent application filed.
Certifications
Machine Learning Specialization, DeepLearning.AI / Coursera · Google Data Analytics, Coursera

Research direction

Research publication: Enhancing UWSN Security using QKD-enabled Acoustic-Optical Hybrid Communication. I am now looking to develop deeper hands-on work in quantum information and computing. My projects span AI, data, software engineering and post-quantum blockchain security. They are not presented here as quantum-computing implementations.

Tools & foundations

Languages
Python · SQL · Java · JavaScript · TypeScript · C
ML & retrieval
scikit-learn · PyTorch · TensorFlow · FAISS · BM25 · MLflow
Engineering
FastAPI · React · Next.js · Node.js · PostgreSQL · Docker · AWS · GCP · Git
Education
Integrated M.Tech, CSE (Business Analytics) · VIT Chennai · 2022–2027

Get in touch

Interested in research or engineering internships in quantum information, AI/ML or backend systems. Contact me at aashik1701@gmail.com.
GitHub · LinkedIn · Hugging Face