Summary
Overview
Work History
Education
Skills
Languages
Timeline
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Vishwesh V Bhat

Bengaluru

Summary

Developed skills in Python programming and data analysis in collaborative team environment. Seeking to transition into new field, leveraging expertise in problem-solving and software development. Capable of adapting to new challenges and delivering impactful results in diverse settings.

Overview

3
3
years of professional experience

Work History

Python Developer (Generative AI | Automation)

Capgemini
08.2025 - Current
  • Designed and deployed intelligent agents using LangGraph, LangChain, and LlamaIndex for Retrieval-Augmented Generation (RAG) workflows.
  • Implemented advanced function/tool calling and prompt engineering strategies to optimize LLM interactions and task automation.
  • Hands-on experience with leading LLM platforms including Google Gemini, Vertex AI, Cohere, OpenAI, and Mistral.
  • Led on-premise LLM integration using Ollama with IBM Granite, enabling secure and scalable enterprise, also tried other methods like automated redacting prompts to secure client sensitive data.
  • Developed scalable automation pipelines using Python, leveraging async, multithreading, and multiprocessing for performance optimization.
  • Built robust APIs with FastAPI and integrated GoRules BRE for dynamic business rule execution.
  • Delivered intelligent document processing solutions using Document AI, SSOCR/OCR, and embedding-based search.

Python Data Engineer (Part Time Contributor)

Capgemini (Accelerator Development Group)
03.2024 - Current
  • Contributing towards Accelerator development for cost and effort savings within Capgemini as well as for potential clients.
  • Working on automating manual processes such as data validation and pipeline monitoring in Data Engineering projects (Data migration) and post deployment support projects using Python. Also used generative AI function calling and generative AI text generation features in reporting scenarios.
  • Worked on ETL using python (SQLAlchemy, Pandas, PySpark). Code optimization, Implemented parallelism using multiprocessing & multithreading.
  • Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
  • Won Rising Star award for hardwork and contribution towards development of multiple accelerators that were deployed in projects and saved effort and cost.

Data Engineer (Informatica IICS / IDMC)

Capgemini
01.2023 - 07.2025
  • Collaborated on ETL (Extract, Transform, Load) logic and development on IICS, ensuring data integrity and testing pipeline stability on a mass cloud data migration project for a renowned automotive client.
  • Optimized the Informatica assets for better performance, performed data validation, ETL fixes, monitoring and reporting.
  • Also collaborated post deployment in the quality assurance phase of the project in ensuring smooth functioning of production assets, periodic data quality check, timely error fixes adhering to SLAs and frequent reporting.
  • During the quality assurance phase, automated multiple repetitive tasks and also redundant tasks using Python and made reporting and data validation easier for the monitoring team.

Generative AI Mentor (Gen Garage Platform)

Capgemini
03.2024 - 10.2024
  • Served at Gen Garage, a fresher grooming platform at Capgemini as a Generative AI Mentor. Understood Generative AI better during this time.
  • Created learner projects on simple Generative AI Implementation, RAG, ML implementations, ML Implementation, Algorithms, Exploratory Data Analysis, Data Cleaning for freshers.
  • Worked with multiple fresher teams on various automation and Generative AI projects and presented it during weekly innovation calls.
  • Introduced challenges in my project and other live projects during that time to the freshers to provide them with visibility into real world challenges and make them think of automation ideas.

Technical Mentor (Volunteer)

LabLab.ai
09.2023 - 11.2023
  • Collaborated with LabLab.ai and supported during 2 hackathons on Generative AI as a Technical Mentor.
  • Connected with many participants and supported them with technical setup and ideation, learning and support documents on Generative AI Documentations from Cohere, OpenAI and Google Gemini and Vertex AI.

Education

Bachelor of Engineering - Electronics And Communication Engineering

Alva's Institute Of Engineering And Technology
Mangalore
08-2022

Skills

  • GenAI & Agents: LangGraph, LangChain, LlamaIndex, RAG, Function/Tool calling, Prompt Engineering
  • LLMs: Google Gemini & Vertex AI, Cohere, OpenAI, Mistral, Ollama on-prem implementation using IBM Granite
  • Automation: Python, Async, MultithreadingMultiprocessing, FastAPI,GoRules BRE
  • AI/ML: Document AI, SSOCR / OCR, Embeddings, CV (OpenCV, Haarcascade, Yolov7)
  • Cloud & Tools: Azure Synapse, Azure AI (Document AI, OpenAI),Docker (basic), APIs, Git, Agile
  • Data Engineering: Informatica IICS, SQL, ETL pipelines, Cloud migration, Data validation

Languages

English
Advanced (C1)
Kannada
Advanced (C1)
Hindi
Advanced (C1)

Timeline

Python Developer (Generative AI | Automation)

Capgemini
08.2025 - Current

Python Data Engineer (Part Time Contributor)

Capgemini (Accelerator Development Group)
03.2024 - Current

Generative AI Mentor (Gen Garage Platform)

Capgemini
03.2024 - 10.2024

Technical Mentor (Volunteer)

LabLab.ai
09.2023 - 11.2023

Data Engineer (Informatica IICS / IDMC)

Capgemini
01.2023 - 07.2025

Bachelor of Engineering - Electronics And Communication Engineering

Alva's Institute Of Engineering And Technology

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Vishwesh V Bhat