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Founding AI Engineer with 3+ years in AI/ML, RAG & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with an M.Tech in AI and 3+ years of experience building secure, product-based AI ecosystems. I specialize in RAG architecture, Computer Vision, NLP, Multi-Agent Orchestration, and MCP to transform static enterprise data into autonomous "text-to-action" agentic systems.
Pandit Deendayal Energy University, Gandhinagar
M.Tech · Artificial Intelligence
August 1, 2022 – June 30, 2024
GEC, Modasa
B.Tech · Computer Engineering
August 1, 2018 – June 30, 2022
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Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a founding AI engineer role due to their proactive approach in building diverse AI solutions across different industries (field services, fitness, dermatology, data analysis). Their experience with multi-agent systems, RAG, and various AI/ML paradigms shows a breadth of technical curiosity and adaptability. The focus on creating autonomous, production-ready systems aligns well with the innovative and high-impact nature of a founding role. The certifications and research paper indicate a commitment to continuous learning and staying current with advanced AI trends.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills through the development of innovative AI solutions for various business challenges. Their experience in building no-code platforms and user-friendly interfaces suggests an ability to translate complex technical concepts into accessible tools, which is crucial for a founding role. The descriptions indicate a product-oriented mindset, focusing on tangible outcomes like reducing manual effort and improving efficiency. The teaching assistant experience also suggests good communication and mentoring potential.