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Lakshya Gupta

Product Engineer

South Delhi, Delhi, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Built AI systems for educational equity
  • Top 10K Hacktoberfest 2025 participant
  • Published research on generative AI UX
Stackforce AI infers this person is a skilled AI/ML developer focused on EdTech solutions for emerging markets.

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Skills

Core Skills

Machine Learning

Other Skills

CommunicationPyTorchNumPyHTLM5 CanvasWebrtcLangChainFastAPIMediapipeOpenCVPython (Programming Language)FlaskPostgreSQLExpress.jsReact.jsneon db

About

I wrote my first line of code in the 4th grade. I didn't think of it as programming - I thought of it as building. That instinct hasn't changed. I'm a CS student at Newton School of Technology, and I build AI systems - specifically, systems that reduce inequality of access for learners and workers in emerging markets. Projects: RAG pipeline for student notes (<100ms, near-zero hallucination) · Open-source virtual physics/chemistry lab · Browser robotics education via OpenCV.js + WebRTC (<50ms, zero hardware) · Codebase explainability via knowledge graphs + embeddings. Beyond code: DG at IIT Delhi MUN · ₹40K revenue at 16 · Masterclasses with Forbes 30U30 founders · Mentored peers into AI/ML · Judged two Agentic AI hackathons · Published on latent space + generative AI UX · Research paper in progress. Recognition: Top 10K Hacktoberfest 2025 (98K+) · Top 15K Google Big Code 2026 (150K+) · IIT Bombay LLM certified. Focus: AI's impact on educational mobility, labor markets, and institutional access across Asia-Pacific. Every build, equity-first. Working on AI infrastructure, EdTech, or emerging-market tech? Let's connect.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Gdg on campus adypu

Student Member

Mar 2026Present · 2 mos · Remote

Communication

Minds: machine intelligence and neural development society

Member

Oct 2025Present · 7 mos

  • Engaging with machine learning concepts through structured sessions, collaborative projects, and peer-led study groups
  • Collaborating with team members on AI-focused mini projects and hands-on coding activities
  • Actively participating in discussions around algorithms, data science, and practical machine learning use cases
  • Developing a strong foundation in Python, core ML models, and analytical problem-solving through club initiatives
CommunicationMachine Learning

Education

Newton School of Technology

Bachelor of Technology — Computational Science

Jan 2025Jan 2029

Ajeenkya D Y Patil University

Bachelor of Technology - BTech

Jan 2025Jan 2029

SNEH International School - India

High School Diploma

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