Resume

A timeline, not a claim cloud.

Verified experience stays separate from project records. The route keeps the chronology clear without adding unsupported location, work-mode, or employer-project claims.

Publishing rule

Only evidence-backed chronology and role details appear here. Location and work mode are omitted, and this web timeline is the current resume format.

Timeline

Reverse-chronological experience

Feb 2025 — Present

TapHealth

AI Engineer

Built production clinical-AI systems for diabetes care, including expanded CDSS coverage, lab-aware context pipelines, Tara coaching workflows, and pre-release evaluation and observability loops.

Follows the TapHealth AI Engineer Intern entry immediately below and is represented as a sequential role change without claiming a formal promotion.

Evidence-backed highlights

  • Expanded the CDSS from Type 1 and Type 2 diabetes plus a few adjacent comorbidities to 120 modeled conditions: 87 chronic and 33 acute.
  • Built a lab-context layer covering 45 normalized lab-test parameters across 362 graph nodes and naming variants to support care-plan updates and follow-ups informed by lab results.
  • Built Tara as a contextual AI health coach across WhatsApp and in-app surfaces; the sourced role record attributes rollout-period growth of daily active users +164%, sessions +187%, and messages +117%.
  • Built an in-house pre-release evaluation harness with fixtures, personas, rubrics, LLM-as-judge checks, and live validation; Langfuse was used for post-release observability and pre-release prompt experiments.

Python · TypeScript · FastAPI · Kafka · BullMQ · Vercel AI SDK · MCP · Langfuse

Aug 2024 — Jan 2025

TapHealth

AI Engineer Intern

Worked on the earlier TapHealth health-coach and logging stack, including MCP-based assistant actions, health logging workflows, retrieval, and cache efficiency improvements.

Precedes the sourced AI Engineer entry at the same organization from Feb 2025 onward.

Evidence-backed highlights

  • Built MCP tools and utility MCP servers for assistant actions, structured response generation, backend workflow execution, and health logging workflows.
  • Supported glucose, food, exercise, weight, and HbA1c logging plus care-plan-grounded retrieval and resource lookup.
  • Improved macro-fact cache hit rate from 58% to 93%, framed as a direct cache metric rather than a broad model-call reduction claim.

Python · FastAPI · MCP · Retrieval · Caching

Jan 2024 — Aug 2024

Vlippr

Data Science Intern

Worked on multilingual NLP and speech tasks, including IndicBART fine-tuning and in-house evaluation, with diarization claims kept qualitative.

Evidence-backed highlights

  • Fine-tuned AI4Bharat IndicBART for multilingual paraphrasing.
  • Reached BLEU 21 on an in-house evaluation.
  • Worked on diarization, described without unsupported scoring claims.

PyTorch · TensorFlow · Hugging Face Transformers · Multilingual NLP · Evaluation