suraj User
@surajuser10
Generative AI engineer focused on rapid MVP building and shipping real, deployed solutions quickly.
What I'm looking for
I’m an MCA graduate with hands-on experience building AI-powered MVPs and rapid prototypes. I use Generative AI tools like ChatGPT, Gemini, and Claude to solve real-world problems fast—turning ideas into working products without over-engineering.
I’ve shipped multiple AI prototypes end-to-end, including an AI Movie Discovery MVP built in 3 weeks with workflow automation and deployment on Render. I also developed a Legal AI Tool with a RAG pipeline (Streamlit + AI-assisted prompting) and an AI Explainer MVP built in 1 week using Streamlit and Gemini.
Beyond quick prototypes, I build for reliability and iteration—like my multi-agent Voice AI Tutor work using Python, Flutter, and FastAPI with model fallbacks (Gemini, Groq, Mistral, OpenRouter). I collaborate well with product and engineering teams, test systematically, and enjoy experimenting with emerging AI technologies to ship working solutions in days or weeks.
Experience
Work history, roles, and key accomplishments
Voice AI Tutor App
Socratiq
Built a multi-agent voice AI tutor application using Python, Flutter, and FastAPI. Implemented a distributed architecture with multiple model fallbacks for reliability using Gemini, Groq, Mistral, and OpenRouter.
AI Explainer MVP
ELI5 AI
Built an AI explainer MVP in 1 week using Streamlit and Gemini with AI-assisted content generation. Deployed and launched a live version, demonstrating fast shipping without over-engineering.
Legal AI Tool Prototyping
ContractGuard
Rapidly prototyped a RAG pipeline in Streamlit and used AI-assisted prompting to deliver an MVP for contract analysis. Built in 2 weeks, deployed live on Streamlit Cloud, and improved results via prompt optimization with Claude and Gemini.
AI Movie Discovery MVP
Kino
Built an AI movie discovery MVP in 3 weeks using Generative AI for feature design and testing. Deployed on Render and shipped with 3,000+ movies and 25,000+ anime.
Education
Degrees, certifications, and relevant coursework
Pondicherry University
Master of Computer Applications, Computer Applications
2024 - 2026
Grade: 7.38 CGPA
Pursuing a Master of Computer Applications at Pondicherry University (2024–2026), with a CGPA of 7.38.
Magadh University
Bachelor of Computer Applications, Computer Applications
2019 - 2023
Grade: 66.80%
Completed a Bachelor of Computer Applications at Magadh University (2019–2023) with 66.80%.
Availability
Location
Authorized to work in
Job categories
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