Dharun narayanan
@dharunnarayanan
Product-focused AI engineer blending ML research, product strategy, and data-driven roadmapping.
What I'm looking for
I am a product-minded AI engineer who combines hands-on ML research, AI system design, and product management to deliver measurable impact. I have founded an AI infrastructure startup, led multimodal LLM product work, and driven roadmap, user research, and QA initiatives that reduced defects and accelerated delivery.
My experience spans building model-compression pipelines, integrating LLMs with retrieval and decision algorithms, and guiding cross-functional teams through PRDs, prioritization, and go-to-market planning. I focus on practical AI productization, strong stakeholder alignment, and delivering metrics-driven outcomes for users and investors.
Experience
Work history, roles, and key accomplishments
Vice Secretary
Entrepreneurship Cell, Sri Sairam Institute of Technology
Jan 2023 - Present (3 years)
Led product-focused workshops and pitch events for 100+ members, increasing engagement by 30%, and mentored 15+ founding teams resulting in 3 pilot launches with investor interest.
Product Management Intern
Robonetics Automation Solutions
Jun 2025 - Sep 2025 (3 months)
Led user research across 20+ stakeholders to identify 3 critical product requirements and partnered with a 5-person engineering team to define feature specifications, delivering a roadmap and PRDs that accelerated development by 2 weeks.
Quality Assurance Intern
Noderstar LLC
Jun 2024 - Aug 2024 (2 months)
Defined acceptance criteria and UX standards to reduce customer-facing defects by 35% and implemented automated regression pipelines that cut verification time by 40%, improving release velocity.
Education
Degrees, certifications, and relevant coursework
Sri Sairam Institute of Technology
Bachelor of Engineering, Mechanical Engineering
2022 -
Grade: 2.7/4.0
Activities and societies: Vice Secretary, Entrepreneurship Cell; led workshops, mentored founding teams, organized pitch events.
Pursuing a Bachelor's in Mechanical Engineering with coursework in engineering fundamentals and applied statistics; cumulative GPA 2.7/4.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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