Viren Bhalgamiya
@virenbhalgamiya
AI Engineer building agentic LLM systems that boost developer productivity and engineering velocity.
What I'm looking for
I’m an AI Engineer specializing in building agentic systems and LLM-powered tooling designed to improve developer productivity and engineering velocity. I focus on integrating AI coding assistants into real development workflows, designing multi-step agent pipelines, and deploying reliable systems with strong evaluation and monitoring.
At CognitivTrust, I built a multi-agent AI platform integrated into the SDLC for automated code analysis, STRIDE-based threat modeling, and vulnerability triage—using structured validation and deterministic post-processing to improve LLM reliability. At Duchas Technology, I developed a voice-enabled NLP system for automated email processing and information extraction, improving structured data accuracy by 25%, while also building scalable backend APIs with Django and Docker. I’m especially motivated by systems that reduce hallucinations, lower inference cost and latency, and deliver measurable reliability gains in production.
Experience
Work history, roles, and key accomplishments
AI Intern
CognitivTrust
Dec 2025 - Present (6 months)
Built a multi-agent AI platform integrated into the SDLC for automated code analysis, STRIDE-based threat modeling, and security-aware pull request triage. Improved LLM reliability using structured validation and deterministic post-processing while integrating automated workflows into repositories and CI/CD pipelines.
AI Intern
Duchas Technology
May 2025 - Sep 2025 (4 months)
Developed a voice-enabled AI system with NLP pipelines for automated email processing and information extraction, improving structured data accuracy by 25%. Built and deployed scalable Django + Docker backend APIs and optimized ML pipelines for high-throughput responsiveness and reliability.
Education
Degrees, certifications, and relevant coursework
Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT)
Master of Technology (M.Tech), Machine Learning
2024 - 2026
Grade: 8.47 CPI
M.Tech in Machine Learning at DAIICT (07/2024–05/2026). Achieved a CPI of 8.47.
VIER, Vadodara
Bachelor of Technology (B.Tech)
2020 - 2024
Grade: 8.66 CGPA
B.Tech at VIER, Vadodara (09/2020–05/2024). Achieved a CGPA of 8.66.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
virenbhalgamiya.netlify.appJob categories
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