Srujan Vithlani profile photo

Srujan Vithlani

Full-stack Developer at Webologix Global

Full-stack DevelopmentGenerative AI (GenAI)Machine LearningSystem ArchitectureMicroservicesCloud & DevOps
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About

I'm Srujan Vithlani, a Full-stack Developer at Webologix Global with a background in Machine Learning and a Master's from Virginia Tech. My career has taken me from research at Delhi Technological University to optimizing healthcare systems at UnitedHealth Group, and now I'm focused on building high-performance web applications and exploring the frontier of Generative AI. I'm deeply passionate about human-centered design—I believe AI should be a tool for societal betterment, not just a novelty. Beyond the code, I'm a big advocate for authenticity in communication and spend my free time mentoring junior developers, hunting for low-key coffee shops, or playing as a Right Wing Back in pick-up soccer. I'm here to collaborate on innovative tech solutions and connect with others who value real, human-driven progress.

Networking

What I can offer

  • ›Full-stack and ML technical expertise
  • ›Mentorship through pair programming
  • ›Insights on system optimization and Redis caching
  • ›Advice on human-centered AI design

Looking for

  • ›Innovative tech collaborations
  • ›Discussions on full-stack development or ML
  • ›Pick-up soccer games
  • ›Expanding my professional network

Best fit for

Junior developersTech foundersMachine Learning researchersFull-stack engineers

Current Interests

Multi-agent setups (Claude Code)Vibe coding with structured isolationAI security and filesystem permissionsHuman-centered designPick-up soccer

Background

Career

Transitioned from Machine Learning Research at DTU to Full-stack roles at UnitedHealth Group and Webologix Global, with a Master's from Virginia Tech.

Education

Master of Engineering (MEng) in Computer Science from Virginia Tech (2023–2024); Bachelor of Technology (BTech) in Computer Science from Delhi Technological University (2018–2022).

Achievements

  • ›Reduced candidate matching API response times from 8s to 2s using Redis.
  • ›Reduced healthcare claim lookup times from 10s+ to under 3s at UnitedHealth Group.
  • ›Achieved 94% accuracy on spam detection using LSTM networks.
  • ›Automated lab testing infrastructure for 1,000+ users at DTU.
  • ›Led a team of 150+ members as VP of IT at Round Table DTU.

Opinions

  • AI should follow human-centered design rather than being built 'for the sake of building.'
  • Human-written content is superior to AI-generated text for authenticity and outreach.
  • AI agents with shell access must be treated like a teammate with an unlocked laptop, requiring strict isolation.
  • The industry is shifting from 'AI as a tool' to 'AI as a team.'