Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India

• Leading the development of Precision GTM for Commercial Pharma using Agentic GenAI solutions.

Jan 2024 – Jul 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India

• 1. Integrated the VQA service with LLM models to get suggestions(Textual + Tabular) out of Medical documents to autofill the eCRF forms.
• 2. With the integration of VQA, extended the Support for text annotations (in case we want any other text apart from the generated suggestions) and storing it into ElasticSearch.
• 3. Provided an endpoint with all the analytics around suggestions and annotations to show it on the UI as an operational dashboard.
• Copilot -
• 1. Worked on automating the digitization of the study (i.e. building a cohort out of textual inclusion exclusion criteria used in the protocol of clinical trials(study)) using Multi-Agent RAG based system.
• 2. Worked on developing GenAI powered ChatBot which can create cohorts, analytics reports, summary and other clinical outcomes from user prompts using Agentic frameworks and I-P-C protocol.
• 3. Working on developing GenAI Powered Pharma Analytics: Next-Gen AI Analysis for Pharmaceutical & Biotech Companies.

Jul 2022 – Dec 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

• 1. Re-Engineered and Optimized the whole SDP, SMC and Transformation codes with the new DTS low persistence changes using pandas DF, Multiple Transaction DB bulk (Update, Create) calls and Jobs to reduce the API response time upto 70-75%.
• 2. Designed and developed the 'Cloud-Agnostic Module' from scratch, which is a FastAPI based service, enabling seamless deployment of all other micro-services across multiple cloud providers(AWS & Azure).
• 3. Created a reusable cloud-agnostic python package as well.
• > It improved the performance of micro-services that involves the transfer of large files to cloud storage(S3 & Blob), reducing latency in comparison to API-to-API calls. The package also resulted in cost savings due to reduced API calls and data transfer rates.
• > Developed a standardized interface, abstracting cloud provider details, enabling existing micro-services to use 36+ functionalities across AWS (Secret-manager, S3, SQS, & Glue) and Azure (Key-Vault & Blob) without worrying about the specific cloud provider.
• > Documented the architecture & various functionality of the package to enable easy maintenance, and integrated this package into 13+ existing micro-services within the company.
• 4. Worked on the OMOP-on-FHIR(Java-based micro-service) to optimize the SQL queries for about 11 FHIR resources’ APIs, and achieved the improvement of approximately 57% or more in the response time(pre & post tuning). Removed 30% of the unnecessary hibernate SQL logs and improved the system’s performance.
• 5. Re-Designed and implemented the whole Eureka RWE service for Meta Study changes and Smart App Integration((enabling multiple EHR support like EPIC, Cerner etc.).
• 6. Did POC for integrating the other EHR Services(EPIC & Cerner) into existing DTS product to make a SmartApp on FHIR(SMART on FHIR is a data standard that enables applications to access information in electronic health record (EHR) systems.)