Headline

Software Engineer | Machine Learning & AI | Ex-ML Intern @ IIT Delhi | Ex-ML Intern @ GGSIPU | Deep Learning, NLP, Scalable Systems | Python, Java

About

Software Engineer with strong experience in Machine Learning, working at the intersection of scalable systems and intelligent applications. Currently a Machine Learning Intern at GGSIPU and previously at IIT Delhi, where I have worked in research-driven environments on real-world data problems. My experience includes building machine learning models, working with large datasets, and contributing to end-to-end systems — from data processing to model evaluation and deployment workflows. I bring a combination of: • Strong fundamentals in Data Structures, Algorithms, and core Computer Science • Hands-on experience with machine learning systems and data-driven problem solving • Ability to write clean, production-level code and work in Linux-based environments I’m particularly interested in roles that combine software engineering with machine learning — where systems, scalability, and intelligence come together. Currently exploring opportunities in: Software Engineering | Machine Learning Engineering | Backend Engineering If you're building impactful technology, I’d be glad to connect.

Location

Greater Delhi Area

AI stack

antigravity

codex

Work experience

Machine Learning Research Intern at Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, Jan 2026 - Jun 2026 · 6 mos, Delhi, India, • Researched ML-driven approaches, optimizing solar panel placement using geospatial data and spatial analytics. • Built geospatial data pipelines for large-scale analysis, experimentation, and model development. • Applied quantum-inspired optimization techniques to infrastructure planning and resource allocation problems.

Machine Learning Engineer at Indian Institute of Technology, Delhi, Jun 2025 - Dec 2025 · 7 mos, New Delhi, Delhi, India, • Contributed to machine learning systems in a research-driven environment involving real-world datasets • Worked with deep learning models and data pipelines in Linux-based environments • Collaborated on experimentation, evaluation, and reproducibility of ML workflows

Research Lead at ACM-DCE, Sep 2024 - Oct 2025 · 1 yr 2 mos, Gurugram, Haryana, India, • Led research-driven initiatives within the ACM chapter, mentoring peers and driving structured problem-solving across student teams • Collaborated with faculty and members to refine ideas, execute projects, and build a strong culture of technical learning

Software Developer Intern at Copper Digital, Jun 2024 - Jul 2024 · 2 mos, Gurugram, Haryana, India, • Developed frontend components and contributed to production-level systems • Worked with Linux tools, scripting, and debugging workflows in a fast-paced environment

Education

Bachelor of Technology - BTech, Computer Science, Dronacharya College of Engineering

St. Marks senior secondary public school