Nithin Sathya
@nithinsathya
AI/ML engineer focused on RAG systems, voice AI, and full‑stack automation.
What I'm looking for
I am an AI/ML engineer and full‑stack developer with hands‑on experience building Retrieval‑Augmented Generation (RAG) systems, voice AI assistants, and automation tooling for sales and education. I combine practical engineering—Python, FAISS, embeddings, Flask/Node.js—with applied ML to deliver productionalized AI solutions.
My projects include voice‑enabled RAG assistants, document‑aware AI chatbots, and an AI eye‑disease detection app; internships involved building an LLM assistant for sales queries, scraping and structuring LMS content, and end‑to‑end website and UI/UX development. I emphasize accuracy, source‑grounded responses, and streamlined workflows that improve efficiency.
I seek opportunities where I can apply prompt engineering, vector search, and voice AI to build customer‑facing products and automation that measurably improve user outcomes and operational efficiency.
Experience
Work history, roles, and key accomplishments
Automations AI/ML Intern
Jyesta Corporate
Nov 2025 - Jan 2026 (2 months)
Built an RAG-based LLM assistant using embeddings, FAISS vector search, and prompt grounding to enable sales teams to query student fees, payments, and records with accurate database-backed responses; assisted in web scraping and structuring LMS content for automation.
Marketing and Automations Intern
SocialAgentAgent
Jun 2025 - Aug 2025 (2 months)
Streamlined client proposal generation by engineering an automated system using Google Apps Script, AI, and Zapier, reducing generation and delivery time from ~1 hour to under 22 minutes (≈96% improvement).
Full Stack Intern
Tesla Academy
May 2024 - Jun 2024 (1 month)
Developed a comprehensive institutional website using HTML, CSS, Flask, and Node.js; led UI/UX design and implemented features including user authentication, contact forms, media gallery, and student marks showcase.
Education
Degrees, certifications, and relevant coursework
Christ (Deemed to be University)
Bachelor of Computer Applications, Computer Applications
Grade: 3.54/4.0
Bachelor of Computer Applications with a cumulative GPA of 3.54/4.0; coursework and projects focused on software development and AI applications.
Availability
Location
Authorized to work in
Job categories
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