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1. ◈viditparashar.me/servicesviditparashar.me › services › llm-build

   LLM feature build — a contained piece of AI work delivered into your…

   scoped per engagement

   LLM feature build — a contained piece of AI work delivered into your codebase. Best for a team that knows what it wants built but has nobody free who has done it…

   • The feature, in your repository, reviewed by your team
   • An evaluation harness, so the next change is measured rather than hoped for
   • Explicit confidence and escalation behaviour instead of an implicit one
   • A written account of what it does badly, which is the part that gets skipped
2. ◈viditparashar.me/servicesviditparashar.me › services › full-time

   Full-time roles — an AI or full-stack engineering role where LLM work is…

   open to conversations

   Full-time roles — an AI or full-stack engineering role where LLM work is the product, not a feature bolted on. Best for teams putting language models into something…

   • Someone who has shipped LLM features into regulated environments, not just prototypes
   • Comfort across the whole stack, from the speech pipeline to the operator UI
   • A bias towards evaluation and explainability over demo quality
   • Willingness to own the unglamorous half: handoff behaviour, thresholds, what happens at the edge
3. ✉viditparashar.meviditparashar.me › hire

   Hire Vidit Parashar — open to interesting problems

   Contact · IST (UTC+5:30)

   Currently open to interesting problems. Email viditsharma818@gmail.com — replies usually land within one working day, IST (UTC+5:30). Overlaps a full working day with…

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