DeSilva S profile photo

DeSilva S

GenAI Engineer / AI Developer at Tata Consultancy Services (TCS)

Generative AILLM Fine-TuningRetrieval-Augmented Generation (RAG)Agentic AI DevelopmentPrompt EngineeringPython
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About

I'm DeSilva S, a GenAI Engineer at TCS specializing in building production-grade AI systems. My journey has taken me from deep-diving into medical data summarization during my internship to fine-tuning LLMs and developing Agentic AI at scale. I’m passionate about moving beyond simple 'prompt experiments' to create reliable, grounded products that solve real-world problems. Outside of the technical stack, you'll likely find me capturing macro shots of wildlife, training for my next marathon, or geeking out at Comic Con. I'm always looking to collaborate on applied LLM systems or offer my expertise as a GenAI freelancer to help teams turn AI demos into robust solutions.

Networking

What I can offer

  • ›Custom LLM solutions and RAG-based assistants
  • ›Technical storytelling and GenAI engineering expertise
  • ›Freelance GenAI development services

Looking for

  • ›Collaborations in GenAI engineering and applied LLM systems
  • ›Engagement with the developer community
  • ›exploring mutual opportunities in GenAI and AI product development

Best fit for

GenAI DevelopersAI Product ManagersTech Community OrganizersHealthcare Tech Founders

Current Interests

Medical AI and document summarizationLow-latency production AI systemsWildlife photographyGeek culture (Anime, Marvel, DC)Marathon running and fitness

Background

Career

Transitioned from an AI Developer Intern at LezDo TechMed to a full-time GenAI Engineer at TCS, with foundational training from the Amazon ML Summer School.

Education

Bachelor’s degree, Artificial Intelligence from Sona College of Technology (2020 – 2024).

Achievements

  • ›Ranked top 15 out of 500+ in AWS AI agent development quiz
  • ›1st place in MongoDB technical quiz at #MDBDayTCS
  • ›Salesforce Certified AI Associate
  • ›Silver medal in Men’s Throwball at Corporate Olympics

Opinions

  • AI should feel like a reliable product rather than a demo
  • Emphasizes grounding and retrieval to ensure system reliability
  • Advocates for testing skills under pressure through coding challenges