
AI/ML Engineer • Edge AI • Healthcare AI • AgriTech AI| Building VaidyaOS, AgriSence, CareerLens | 2× National Hackathon Winner | Google Cloud • Azure • Firebae
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
VaidyaOS
May 17, 2026 – Present
Offline-first Edge AI healthcare OS — runs Gemma GGUF on Android with zero internet for rural clinical triage (React Native + Llama.cpp + Firebase)
View ProjectopenNPC
April 29, 2026 – Present
An open-source AI framework for autonomous game NPCs — heuristic villagers to RL-trained bosses, one unified Python pipeline.
View ProjectAadhaar-Pulse
January 18, 2026 – Present
Government-Grade Decision Support Analytics Platform for Aadhaar
View ProjectHealthMesh
December 14, 2025 – Present
Intelligent Clinical Decision Support Platform powered by Azure AI - Microsoft Imagine Cup 2025
View ProjectCareerLens
September 18, 2025 – Present
National Winner Google Gen AI Exchange | AI career platform: ATS optimization, skill gap analysis, personalized learning roadmaps powered by Gemini 1.5 Pro
View ProjectAgriSence
September 1, 2025 – Present
State Winner Inferentia 2.0 | AI smart farming: crop disease CV, multilingual voice bot in 7 Indian languages, satellite NDVI analytics (Next.js + Gemini + GCP)
View ProjectCultural Fit Analysis
The candidate's extensive personal projects, many of which address societal challenges (e.g., AgriSence, VaidyaOS, Aadhaar-Pulse), align well with a culture that values innovation, impact, and problem-solving. The diversity of projects and technologies used suggests adaptability and a continuous learning mindset. However, the absence of team-based professional experience makes it challenging to fully assess cultural fit in a collaborative corporate environment.
Soft Skills & Operational Fit
The candidate's project portfolio suggests strong initiative, problem-solving capabilities, and a drive for innovation. The focus on impactful, real-world applications (e.g., smart farming, healthcare, civic education) indicates a proactive and socially conscious approach. The lack of formal work experience or detailed project roles makes it difficult to assess direct team collaboration or stress handling, but the complexity of projects implies good self-management and dedication.