AI/ML Engineer · NLP, RAG & production ML systems · TSEC Mumbai · Building AI that ships, not just demos.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SCRIPTCHAT
May 23, 2026 – Present
ScriptChat is an AI-powered storytelling IDE that maps characters, dialogues, and plot relationships into a dynamic Neo4j graph for visual story development and analysis.
View ProjectAETHER-LLM-COUNCIL
May 23, 2026 – Present
AETHER – LLM Council is a multi-agent AI system where multiple language models collaborate, debate, and reason together to generate more accurate, reliable, and context-aware responses.
View ProjectMICROPULSE
May 23, 2026 – Present
MicroPulse is a lightweight Small Language Model (SLM) trained on the TinyStories dataset, designed for efficient local AI inference on low-resource devices.
View ProjectMEDIVOICE
February 28, 2026 – Present
WINNING PROJECT OF M-INDICATOR NATIONAL LEVEL AI HACKATHON.
View ProjectNerd.JS_AIForBharat
February 10, 2026 – Present
Aether (LLM Council) is a multi-agent AI system that produces safer, explainable outputs by routing queries through debating LLM agents, anonymous peer review, and final synthesis. Built to be privacy-first, modular, and scalable, it enables trusted AI for real-world decision making.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, particularly in AI/ML and web development. The diversity of projects (multi-agent AI, SLM, storytelling IDE, frontend development) suggests a broad interest in technology and a proactive approach to learning and building. This indicates a potential for good cultural fit in an innovative and project-driven environment. However, the target role is 'Frontend Developer', and while frontend technologies are present, a significant portion of projects are AI/ML focused, which might indicate a broader interest than just frontend.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear, but there are no psychometric or English test results to evaluate communication, logical reasoning, work attitude, stress handling, or team collaboration.