Bioinformatics
Research Engineer — AI/ML
Center for Biotechnology, Maharshi Dayanand University
Making biological data accessible, explorable, and useful.
AI / ML ENGINEER · CREATIVE DEVELOPER
I turn complex AI, data and cloud systems into useful digital products—designed with clarity, built to ship, and made to last.
A little context behind the code.
Rohtak, IndiaI’m Aakash—an AI & ML engineer interested in the point where ambitious technology becomes genuinely useful.
My work connects machine learning, biological research, and useful software. From genomic data pipelines to internal platforms and hands-on teaching, I turn complex ideas into tools people can work with.
Applied AI that solves a clear human problem.
Reliable infrastructure built for real-world scale.
Curiosity, experimentation and evidence in every build.
My core layer: modelling, experimentation and turning raw data into decisions.
Research, engineering, and teaching. Different settings, the same instinct to make things useful.
Bioinformatics
Center for Biotechnology, Maharshi Dayanand University
Making biological data accessible, explorable, and useful.
Software engineering
TGID · New Delhi
Less repetitive work. More connected workflows.
Teaching & community
StudentTechHub, Maharshi Dayanand University
Turning theory into something students can build.
Academic service
Department of Computer Science & Engineering, MDU
Helping the concepts click, one experiment at a time.
The foundations behind the work.
Computer Science Engineering (AI & ML)
University Institute of Engineering and Technology, Maharshi Dayanand UniversityRohtak, HaryanaScience, CBSE Board
Pathania Public SchoolRohtak, HaryanaCBSE Board
Pathania Public SchoolRohtak, HaryanaResearch, intelligent tools, and software built around real use cases.

ML-assisted transcriptomics and multi-omics exploration for Cicer arietinum, connecting SVM gene-expression prediction, automated ETL pipelines, and interactive Django dashboards on GCP.

Content-based recommendation system using KNN and cosine similarity with feature engineering, MinMaxScaler and one-hot encoding.

macOS Terminal inspired Web App - A browser-based terminal emulator with interactive functionality, file system simulation, light/dark mode, and realistic macOS UI with traffic light controls.

Cloud-integrated web application for Paris 2024 Olympics data with real-time exploration, medal prediction using simulation logic, and intelligent chatbot for event insights. Built with Python and Streamlit, hosted on GCP.

Intelligent PDF summarization tool powered by Google's Gemini API. Extracts, analyzes, and simplifies PDF content with interactive visualizations, conversational Q&A, and cloud integration for researchers and professionals.

Responsive weather application providing current weather conditions, astronomical data (sunrise/sunset, moon phase), air quality metrics (CO, NO₂, O₃, PM2.5), and detailed forecasts for locations worldwide.

Python x MySQL tutorial project for managing customer records with database creation, table operations, passbook management, and user-friendly interface via Streamlit for learning DBMS concepts.