Tanishq Ojha
@tanishqojha
Data science–minded co-founder building real-time AI experiences in full-stack apps.
What I'm looking for
I’m a co-founder building a music-tech AI startup (ADMERE), where I develop voice-signal processing and LLM-based models to assess and coach singers with real-time, personalized vocal feedback.
I also freelanced as a Full-Stack Developer, shipping a cross-platform technician app on the Play Store with React Native and TypeScript—integrating payments (Razorpay), OTP authentication (Supabase), and an admin dashboard for service and performance management.
Beyond products, I build applied AI systems: an AI mock interview platform with graph-based reasoning over Gemini and speech pipelines, and a real-time chat platform using WebSockets on a Node.js backend (high uptime and low latency). I bring a data-driven mindset, using Python, Pandas/NumPy/Scikit-learn, and modeling techniques to turn messy inputs into actionable insights.
Experience
Work history, roles, and key accomplishments
Freelance Full-Stack Developer
Chillmechanic Pvt. Ltd.
Sep 2025 - Present (9 months)
Built and shipped a live cross-platform technician app in React Native and TypeScript with MySQL-backed data management, Razorpay payments, and OTP authentication via Supabase. Engineered a real-time chat system with WebSockets on a Node.js backend, supporting 5,000+ concurrent users with 98% uptime and sub-150ms latency.
Co-Founder, Music Tech AI
Admere
Jan 2024 - Present (2 years 5 months)
Co-founded a music-tech startup building AI models to assess and coach singers using voice signal processing and LLMs for real-time, personalized vocal feedback. Focused on delivering an end-to-end system for continuous performance coaching.
Education
Degrees, certifications, and relevant coursework
IIT Madras
Bachelor of Science in Data Science, Data Science
2024 -
Pursuing a B.S. in Data Science since 2024. Co-founded a music-tech AI startup building models to assess and coach singers for real-time, personalized vocal feedback using voice signal processing and LLMs.
St. Joseph's Co-Ed School
Senior Secondary (CBSE), PCM + Computer Science
Completed Senior Secondary (CBSE) in PCM + CS. Was selected in NIRMAAN (IIT Madras) and SSPU Super30 by SIDBI and Symbiosis incubation programs.
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