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ML & Backend Engineer | SIH’25 Winner
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Assessing your cultural and operational fit
ADGIPS
Frontend Developer
June 25, 2026 – Present
TalentTrack
April 25, 2026 – Present
TalentTrack is an explainable web platform that turns informal skills into a portable skills passport and maps them to realistic, region-aware opportunity pathways using visible wage and training insights for youth in underserved labor markets.
View ProjectTokenOps
March 29, 2026 – Present
TokenOps is an autonomous AI cost intelligence agent built with FastAPI. It acts as a smart proxy between your app and LLM providers (Gemini, Groq), automatically routing requests to the cheapest viable model, enforcing budget/rate policies, caching responses, and logging every call with full cost analytics via a real-time dashboard API.
View Projectwomen-workforce-platform
January 25, 2026 – Present
A scalable React + TypeScript platform designed to improve Female Labour Force Participation by enabling gig work, skill certification, childcare support, safe transport coordination, and peer mentoring.
View ProjectTranscribeFlow
January 7, 2026 – Present
TranscribeFlow is a minimal web app that turns uploaded audio (lectures, meetings, podcasts) into readable transcripts and concise summaries using an AI-powered two-stage pipeline (ASR + text summarization), helping users review long recordings in seconds.
View ProjectSIH-25191
December 8, 2025 – Present
End-to-end machine learning pipeline for substation asset health, risk, and RUL prediction.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards web development and AI/ML applications. The target role is 'Frontend Developer', which aligns with the technologies used in many projects (HTML, CSS, JavaScript, React, TypeScript). However, the candidate's experience level is 0, and the current role at ADGIPS started recently (June 2026), which suggests very limited professional experience. The project descriptions are somewhat generic, making it hard to gauge depth of contribution or collaboration. The diversity of projects, while broad, might indicate a lack of focused depth in frontend development specifically, with many projects leaning towards Python and AI/ML backend aspects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, and no other information is provided.