TEJAS TATODE
@tejastatode
Full-stack developer and AI/ML student building low-latency APIs, dashboards, and secure ML systems to deliver measurable impact.
What I'm looking for
I’m a Computer Science (Artificial Intelligence & Machine Learning) student who enjoys turning complex ideas into reliable products. As a Product Developer Intern at KiwiStays, I built core short-term rental platform features with React and Supabase (PostgreSQL), and I designed serverless functions and REST APIs for booking workflows, listings, and internal CRM tools.
I also build systems that scale and explain themselves—like my LLM Gateway, where I unified Gemini, Groq, and OpenAI routing, added semantic caching, and implemented circuit breakers for zero-downtime failover. Earlier, I developed gamified dashboards at PiggyPath using Node.js REST APIs, Redis caching, and queue-based leaderboards; and I created NetSage, a real-time ML-based network intrusion detection system using Kafka, FastAPI WebSockets, Autoencoder anomaly detection, XGBoost classification, and SHAP explanations.
Experience
Work history, roles, and key accomplishments
Product Developer Intern
KiwiStays
Jun 2026 - Present (0 months)
Built core features for a short-term rental platform, supporting 70+ active property listings using React and Supabase (PostgreSQL). Designed serverless functions and REST APIs for booking workflows, listings, and internal CRM tools, plus a Meta Graph API data pipeline with a React revenue/ROAS dashboard.
Full Stack Developer Intern
PiggyPath
Jan 2026 - Apr 2026 (3 months)
Developed gamified dashboards (XP, streaks, leaderboards) for 1k+ users with Node.js REST APIs, Redis caching, and async processing to cut DB load and peak-traffic failures. Built a queue-based leaderboard for accurate concurrent ranking and implemented 4 Firebase mini-games with real-time progress updates.
Education
Degrees, certifications, and relevant coursework
Ramdeobaba University, Nagpur
Bachelor of Technology (B.Tech), Computer Science (Artificial Intelligence & Machine Learning)
2023 -
Grade: 8.2/10 CGPA
Activities and societies: Product Developer Intern — KiwiStays (Jun 2026–Present); Full Stack Developer Intern — PiggyPath (Jan 2026–Apr 2026).
Pursuing a B.Tech in Computer Science (Artificial Intelligence & Machine Learning) at Ramdeobaba University, Nagpur (2023–2027). Maintains a CGPA of 8.2/10.
Availability
Location
Authorized to work in
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