Hi, I’m
Krishna Choudhary
Data Scientist
Pune
Summary
Results-driven Data Scientist with over 10 years of experience specializing in Generative AI, including advanced proficiency in large language models such as GPT-3/4 and LLaMA. Demonstrated expertise in prompt engineering, prototype design, and roadmap ownership, effectively translating complex data insights into actionable strategies. Successfully led the development of customized Chat GPT and Vertex AI models to address diverse business challenges, driving innovation and enhancing operational efficiency. Committed to leveraging cutting-edge technologies to deliver impactful solutions that align with organizational goals.
Overview
11
years of professional experience
1
Certification
Work History
Global Payment solutions
GEN-AI Engineer
10.2025 - Current
Job overview
- Designed and developed an Agentic AI-powered incident management system to automate issue detection, classification, and resolution workflows, improving response efficiency and reducing manual intervention.
- Built intelligent agents capable of context-aware decision making, enabling dynamic routing of incidents to the appropriate teams based on severity and type.
- Integrated a real-time live chat module to provide instant support, enhancing user experience and reducing resolution turnaround time.
- Implemented a callback feature that allows users to request support at their convenience, improving customer engagement and service accessibility.
- Developed and deployed OCR (Optical Character Recognition) functionality to extract and process information from images/documents, enabling faster incident reporting and data capture.
- Ensured scalability and performance by designing modular architecture, incorporating APIs, and enabling seamless integration with existing enterprise systems.
- Tools and Technologies Used: GEN AI, Google ADK,LLM, GCP, RAG pipeline, NLP, Python, Agentic AI, Lang chain, LangGraph, Vertex AI, Jenkins, MCP
- Machine learning algorithm and libraries used: GEN AI, Llama models
- Team: 3
Wordline global solutions
GEN-AI Lead
07.2023 - 09.2025
Job overview
- Advanced Requirements Gathering & AI Solution Proposals: Drove requirement elicitation and actively engaged with stakeholders to understand the business baseline, leading to the proposal and rapid prototyping of innovative AI-driven solutions tailored to organizational needs.
- Agentic AI & Secure Dispute Management: Delivered an agentic AI-powered dispute resolution bot, leveraging LangGraph for autonomous orchestration for structured context exchange across agents. This enabled compliant document handling, real-time updates, and explainable resolution flows within a secure environment—boosting response efficiency, transparency, and user satisfaction.
- RAG-Based Product Portal Pipelines: Engineered a Retrieval-Augmented Generation (RAG) pipeline for dynamic product portal using the Langchain framework, enhancing knowledge discovery and user experience with context-driven answers.
- End-to-End POC for Automation: Led proof-of-concept (POC) initiatives for automation projects, from ideation to production using MLOPS approach feasibility through architectural design and implementation, accelerating adoption of new technologies and operational efficiencies.
- Tools and Technologies Used: GEN AI, LLM, GCP, RAG pipeline, NLP, Python, Agentic AI, Lang chain, LangGraph, Vertex AI, Jenkins, MCP
- Machine learning algorithm and libraries used: GEN AI, Llama models
- Team size - 4
Capgemini Engineering
Data Scientist
06.2022 - 06.2023
Job overview
- Build solution for Computer vision-based problem statement on different use cases.
- Identify dataset for training model or prepare dataset.
- Process video and images.
- Identify YOLO model for detecting object.
- Cost delivery and reliability optimization.
- Work for benchmark for fast processing over 5G network on CPU and GPU.
- Build Microservice and deploy it using docker.
- Assisting and mentoring to the fellow member in a team.
- Project Title: 5G Hive
- Tools and Technologies Used: Computer vision, Visual studio, Azure container registry, Post man, python, Azure
- Client: 5G Hive
- Machine learning algorithm and libraries used: YOLO, darknet, tensorflow, pytorch
- Team size - 5
Capgemini Engineering
Data Scientist
05.2021 - 05.2022
Job overview
- Machine learning model and ANN learning model to correctly identify type of noise in the audio created by DELL lattitude, Inspiron product and peripherals Audio Quality.
- Build best fit audio classification model to identify type of audio and hardware problem in DELL system.
- Requirement gathering data analysis of audio data, sprint planning, project time lines and gap analysis.
- Create and finding innovative solution to the problem statement.
- Designing framework for ML solution.
- Working closely with solution architect and program managers, client.
- Reviewing FRD, Involved in Sprint planning, project timeline, retrospective meeting.
- Performing booting operations like cold boot, Reboot , hibernate over Dell System and check quality of audio using ML noise classification.
- Deployment of model on AWS platform.
- Performance tuning for improving accuracy of models.
- Project Title: DELL EMC
- Tools and Technologies Used: Python, Jenkins, Docker, AWS, Jupyter notebook, Anaconda distribution, JIRA, Java, Postman, Visual studio, Putty, Git.
- Client: Dell
- Machine learning algorithm and libraries used: pyaudio, Librosa, XGboost, GBM
- Team size – 2
Fidelity Information Services.
Data scientist – Consultant
03.2019 - 04.2021
Job overview
- Proficient in understanding and analysing of data pertaining to various domains, Meetings with stakeholder to understand and set business problems.
- Build best-fit models based on the data and providing appropriate insights to business problems.
- Machine learning model and deep learning model to predict Lead converted into opportunity.
- Business insight by using visualization technique using Tableau.
- Performance tuning for improving accuracy of models.
- Model evaluation technique AUC and ROC.
- Working on linux environment for file processing and deployment.
- Deployment of model by over AWS EC2 environment exposing flask, Docker by setting up jenkins.
- Storing the data by paring image file of bills and pdf file storing into Fame database.
- Project Title: Financial data analysis
- Tools and Technologies Used: Python, Jenkins, Docker, AWS, Jupyter notebook, spider IDE, Anaconda distribution, JIRA, Java, Postman, Visual studio, Sqlite, Tableau, Svn repository, putty, Git.
- Client: Market Map
- Machine learning algorithm and libraries used: XGboost, GBM, Random Forest,Scikit learn, Statsmodel, Keras, Pandas, Tensorflow, pytesseract
- Team size - 3
Tata Consultancy Services
Python developer with ML
01.2019 - 03.2019
Job overview
- Financial data analysis of XBRL file of SEC exchange site.
- Text mining, Extracting Meta features using NLTK libraries.
- Working on different file format pdf, image.
- In depth analysis of the reviews, Naïve approach on reviews.
- Producing detailed specifications and writing the program codes
- Involved in Defect discussions and Triangle meetings with Business, client and Testers.
- Responsible for sending weekly status reports on testing activities to different stakeholders.
- Project Title: Information Resource Center
- Tools and Technologies Used: Python, Jupyter notebook, spider IDE, Anaconda distribution
- Package: Pytesseract, Beautiful soup, Tabula, Pandas.
- Client: TCS Data Office
- Team size - 6
Tata Consultancy Services
Salesforce Developer
09.2015 - 12.2016
Job overview
- Analyze and understand the User Requirement Specification and development Requirement Analysis.
- Presenting ideas for system improvements, including cost proposals.
- Working closely with analysts, designers and staff.
- Involved in Configuration item development.
- Producing detailed specifications and writing the program codes
- Preparation of training manuals for users.
- Exposure to Data migration.
- Involved in fix the issue and UAT.
- Involved in Defect discussions and Triage meetings with Business, client and Testers.
- Involved in Functional and Integration testing and assigning issues to concerned development team.
- Responsible for sending weekly status reports on testing activities to different stakeholders.
- Involved in different phases of testing and supported the project during Production.
- Involved in deployment the code to production.
- Project Title: Community and Sales cloud.
- Client: Honeywell
- Team Size – 3
Education
Thapar UniversityPunjab
M.Tech
Amravati UniversityMaharashtra
B.E. from Information Technology
Skills
Development of Agentic AI solutions
Gen AI development
Rapid prototyping
RAG pipeline
Python programming
Data science
Microservices
Natural language processing
Image processing
Machine learning
Predictive modeling
Accomplishments
- Best contributor at Worldline in AI and ML
- Qualified GATE 2012(CSIT) and received stipend from All india technical education(AICTE).
- 1st Prize- in Roborace as a part of Robonance 2009 at JDIET, Yavatmal.
- Art of living’s volunteer for better India.
Certification
Google Cloud Certified associate cloud engineer, Certified Expert Adobe Campaign management developer, Platform Salesforce developer -I
Timeline
GEN-AI Engineer
Global Payment solutions
10.2025 - Current
GEN-AI Lead
Wordline global solutions
07.2023 - 09.2025
Data Scientist
Capgemini Engineering
06.2022 - 06.2023
Data Scientist
Capgemini Engineering
05.2021 - 05.2022
Data scientist – Consultant
Fidelity Information Services.
03.2019 - 04.2021
Python developer with ML
Tata Consultancy Services
01.2019 - 03.2019
Salesforce Developer
Tata Consultancy Services
09.2015 - 12.2016
Amravati University
B.E. from Information Technology
Thapar University
M.Tech