Open to opportunities

Aman kumar Agarwal

@amankumaragarwal

Message

I build scalable AI-driven software and data systems to solve complex real-world problems.

India

Message

What I'm looking for

I seek roles building production ML and software systems in collaborative teams where I can deploy models to production, drive measurable impact, and grow technical and leadership skills.

I completed a B.Tech in Computer Science with a strong academic record and focused coursework in systems, algorithms, machine learning, databases, and cloud/web development.

At a national research lab I designed and deployed a terrain-aware radar placement system that increased coverage by 30% and reduced sensor count by 20%, and in academic research I achieved 95.5% accuracy on multi-class crime prediction using XGBoost and STNN while improving minority-class recall by 30% with sampling and SHAP-based interpretation.

I deliver production-ready ML and software systems—from a scalable mobile attendance solution with React Native and REST microservices to a 3D lung CT analysis pipeline and real-time sentiment platform—using tools like Python, Java/Spring Boot, Angular, Docker, and cloud technologies to drive measurable impact.

Experience

Work history, roles, and key accomplishments

SDE Intern

Institute for Systems Studies & Analyses (ISSA), DRDO

May 2025 - Jul 2025 (2 months)

Designed and deployed a terrain-aware radar placement system using genetic algorithms, increasing coverage by 30% and reducing sensor count by 20% across 1,000+ km2. Integrated DTED and line-of-sight algorithms with Java (Spring Boot), GeoTools, and GDAL to achieve 95% blind-spot detection accuracy and improve deployment efficiency by 25%.

Java Spring Boot GeoTools GDAL Angular Plotly.Js Genetic Algorithms

Research and Development Trainee

Indian Institute of Information Technology Sonepat

Feb 2025 - Apr 2025 (2 months)

Built models achieving 95.5% accuracy predicting 15+ crime categories on 120,000+ records using XGBoost and STNN. Engineered 20+ spatio-temporal features, improved minority-class recall by 30% with RandomOverSampler, and produced 50+ SHAP visualizations for interpretability.

XGBoost STNN K Means RandomOverSampler SHAP Python Pandas scikit learn

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology, Sonepat

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: 9.2/10

Activities and societies: Member, National Service Scheme (NSS); Participant, Ek Bharat Shrestha Bharat; Member, Coding Club; Student Coordinator, PR & Cultural Committees; Solved 400+ DSA problems on LeetCode, GFG, and CodeStudio.

Pursuing Bachelor of Technology in Computer Science and Engineering at IIIT Sonepat since November 2022 with a current CGPA of 9.2/10.