I write code that parses genomes, build 3D protein models, understand nuclear medicine, and design biomedical sensors. An engineer who speaks biology.
Write Python scripts to parse genomic data, run BLAST alignments, build phylogenetic trees, and automate bioinformatics pipelines end-to-end.
Perform molecular docking with AutoDock, run virtual screening, build QSAR models, and evaluate drug-likeness using Lipinski's rules.
Understand biosensor transducer principles, physiological signal acquisition (ECG/EMG), wearable device design, and point-of-care diagnostics.
Trained in PET/SPECT imaging principles, radiopharmaceutical handling (Tc-99m, F-18 FDG), targeted radiotherapy, and radiation safety protocols.
Hands-on with ELISA, gel electrophoresis, PCR, cell culture, centrifugation, biosafety cabinet, and autoclave — not just theory.
3D CAD modeling in Creo, rapid prototyping, design thinking methodology, and startup pitching — won LPU's VC Challenge in 1st place.
I've parsed real genomic datasets at Biotech Park, Lucknow, won hackathons against 68+ national teams, and pitched a startup to VCs — and won. I don't just understand biology — I can automate it, model it, instrument it, and pitch it.
Enrolled in Engineering Biotechnology. Built foundations in physics, chemistry, calculus, and cell biology — the engineering mindset from Day 1.
Python for Biotechnologists, MATLAB signal processing, biochemistry, immunology. Stopped being just a biology student — started being an engineer who codes biology.
Beat 68+ teams at Manipal Hackathon. 2nd place at IIT BHU. 1st place LPU VC Challenge. Bioinformatics, rDNA tech, and AI for drug discovery unlocked.
Parsed real genomic datasets, worked on cancer biomarker analysis, applied computational pipelines in a live research environment. Not theory — actual research.
All 8 semesters complete. Cheminformatics, drug design, nuclear medicine, regulatory affairs — the full stack. Open for full-time, internship, or freelance.
Every course, lab, and concept across four years — from Maxwell's equations to molecular docking to nuclear medicine.
Biotech Park, Lucknow
May 2024 — Jul 2024
Uttar Pradesh
Jun 2023 — Jul 2023
NSS Program
Jan 2022 — Oct 2022
Automated Python pipeline for virtual screening of compound libraries against protein targets using AutoDock Vina with batch processing and result ranking.
Python script for automated NCBI BLAST queries, result parsing, hit extraction, and downstream phylogenetic tree construction with Biopython.
Wearable biosensor prototype for real-time ECG acquisition using instrumentation amplifier, ADC, and IoT-enabled wireless data transmission.
Python tool that evaluates molecular drug-likeness using Lipinski's Rule of Five, Veber's rules, and predicts pharmacokinetic properties.
End-to-end pipeline from NCBI sequence retrieval to multiple sequence alignment (ClustalW) and phylogenetic tree visualization.
Comparative analysis of PET and SPECT imaging protocols for oncology diagnostics, including radiopharmaceutical selection criteria and dosimetry calculations.
2024
Beat 68+ national teams in a 24-hour biotechnology hackathon. Built a computational solution under extreme time pressure.
2024
Secured 2nd position at one of India's premier tech hackathons, competing against top engineering talent nationwide.
2024
Pitched a biotech startup concept to a panel of VCs and won first place. Demonstrated product thinking and business acumen.
2023
Won first place in the IQ Olympiad, demonstrating strong analytical reasoning and problem-solving abilities.
2023 — 2024
Consistently maintained top academic performance across semesters, recognized on the university Dean's List.
2023 — 2025
Qualified as finalist in multiple national-level hackathons and innovation challenges beyond the top wins.
Tutorials, deep-dives, and case studies from my work in computational biology, drug discovery, and nuclear medicine.
Step-by-step guide to setting up an automated molecular docking pipeline with AutoDock Vina, from PDB preparation to result analysis.
Understanding the physics, clinical applications, and key differences between PET and SPECT imaging — with diagrams and case examples.
Automate NCBI BLAST queries, parse XML results, extract top hits, and build phylogenetic trees — all from a single Python script.
From dataset preparation to model validation — a beginner-friendly walkthrough of building predictive QSAR models in Python.
How I designed an ECG sensor from scratch — covering transducer selection, signal conditioning, noise filtering, and IoT integration.
The strategy, tools, and mindset behind winning Manipal Hackathon — and what I learned about building under pressure.
Open for full-time roles, internships, freelance projects, research collaborations, or just a conversation about biotech.