Daksh Jain

I see software engineering as more than code—it’s a craft of building systems that solve meaningful problems. Since writing my first “Hello, World,” I’ve been driven by the challenge of creating purposeful, scalable solutions through technology. Currently, I’m pursuing a degree in computer engineering at SPIT, with a strong focus on machine learning, generative AI, and full-stack development.

My experience spans across frontend, backend, and AI systems. I’ve built and deployed full-stack platforms using React, Next.js, Node.js, and Docker. I’ve trained and integrated ML models using TensorFlow, PyTorch, and Hugging Face Transformers. Through national-level hackathons, I’ve delivered award-winning AI solutions in education, hiring, and mental health domains.

Core technical skills include: Languages: Python, JavaScript/TypeScript, C++, SQL
Frameworks: React, Next.js, Node.js, Django, FastAPI
AI/ML: TensorFlow, PyTorch, Scikit-learn, Transformers
DevOps: Docker, Git, CI/CD, AWS, Azure
Databases: PostgreSQL, MongoDB, Redis

Select accomplishments:

Winner - Google GenAI Hackathon: Built Gen-ed, personalized skills and career advisor

Winner – IIT Bombay AI Hackathon: Built offline first personalized presentation generator

1st Place – IIT Delhi AI Hackathon: Built HireX, an AI hiring platform with 92% match accuracy

Winner – BITS Pilani AI Hackathon: Built Edify AI, a personalized course generator with AR support

Winner—BrainRot & DCC InnoHacks: Delivered tools for career guidance and emotion detection

40+ open-source pull requests merged and 5000 commits across community projects

Solved 1400+ coding problems (Leetcode 2200+ ,Codeforces: 1400+, CodeChef: 1840+)

My long-term goal is to become part of the top 0.01% of engineers—not for titles, but to master my craft, contribute meaningful work, and build systems that endure. I believe in quiet consistency, high standards, and letting results speak.