Suraj K R profile photo 1 on Tal

Suraj K R

AI & Automation @ Capgemini | RAG/LLM Systems | Mercedes-Benz R&D

Bengaluru

2+ years of work experience

Capgemini
Nov 20251 yr 1 moPresent

Bengaluru

Client: Mercedes Benz Research and Development Askwolfgang Chatbot: Launched AI-powered self-service compliance portal adopted by 1000 employees; facilitated 90 GRC access requests through the bot, eliminating manual workflows. Grew adoption 8x in 6 months. Built RAG pipeline, Flask backend with 20+ APIs, LLM integration, and multilingual support. Built ServiceNow ticket router that ingests incidents every 5 min and intelligently distributes them to agents based on shift & workload. Reduced agent load ~40% and ensured P1/P2 tickets met SLA. Architected modular Airflow pipeline with fair-distribution algorithm, multi-timezone support, and AI-powered resolution recommendations using embeddings and RAG to suggest solutions to agents.
GENPACT
Sep 20231 yr 5 mosJan 2025

Client: General Electric (GE) ● Automated recurring monthly/weekly reporting with SQL and Python, reducing manual efforts by 35% and improving report accuracy. ● Analyzed manufacturing shop-floor data (machine downtime, utilization, yield) using SQL & Python, driving a 12% improvement in equipment efficiency. ● Built interactive Power BI dashboards for plant managers to track production KPIs (throughput, defects, OEE), enabling data-driven decision-making across sites. AI Based Financial Report Analyzer | Python, OpenAI ● Developed an AI-based Financial Report Analyzer with Python and OpenAI, automating financial summaries and reducing manual work by 40%. ● Designed simple data extraction pipelines (PDF/text) and pulled out key insights like financial metrics, SWOT analysis, and regional breakdowns.
GENPACT
Mar 20236 mosAug 2023

● Built and deployed a full-stack fitness website (NovaFit) using the MERN stack, enabling 100+ users to track workouts and progress. ● Designed and implemented RESTful APIs to support user authentication, data storage and retrieval. ● Digitized records for Tamaku NGO by creating a structured data management system, improving information retrieval speed by 50% and reducing manual errors.
GitHub
@surajramesh651
Personal portfoliosurajkr651-portfolio.netlify.app

Suraj’s AI Stack

antigravity
antigravity
claude
claude
github copilot
github copilot
kiro
kiro
mcp
mcp
CrewAI
CrewAI

Education

B. M. S. College of Engineering

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

B. M. S. College of Engineering

20194 yrs2023
srkvsmysuru

PU, PCMB

srkvsmysuru

20172 yrs2019

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Headline

AI & Automation @ Capgemini | RAG/LLM Systems | Mercedes-Benz R&D

About

I build AI and automation systems: RAG pipelines, LLM integrations, intelligent routing and the data infrastructure behind them. Currently at Capgemini, working on GenAI for Mercedes-Benz R&D. I like building things people actually use and that make a clear difference.

Location

Bengaluru

AI stack

antigravity

claude

github copilot

kiro

mcp

CrewAI

Work experience

Consultant- AI & automation at Capgemini, Nov 2025 - Present · 1 yr 1 mo, Bengaluru, Client: Mercedes Benz Research and Development Askwolfgang Chatbot: Launched AI-powered self-service compliance portal adopted by 1000 employees; facilitated 90 GRC access requests through the bot, eliminating manual workflows. Grew adoption 8x in 6 months. Built RAG pipeline, Flask backend with 20+ APIs, LLM integration, and multilingual support. Built ServiceNow ticket router that ingests incidents every 5 min and intelligently distributes them to agents based on shift & workload. Reduced agent load ~40% and ensured P1/P2 tickets met SLA. Architected modular Airflow pipeline with fair-distribution algorithm, multi-timezone support, and AI-powered resolution recommendations using embeddings and RAG to suggest solutions to agents.

Data Engineer at GENPACT, Sep 2023 - Jan 2025 · 1 yr 5 mos, Client: General Electric (GE) ● Automated recurring monthly/weekly reporting with SQL and Python, reducing manual efforts by 35% and improving report accuracy. ● Analyzed manufacturing shop-floor data (machine downtime, utilization, yield) using SQL & Python, driving a 12% improvement in equipment efficiency. ● Built interactive Power BI dashboards for plant managers to track production KPIs (throughput, defects, OEE), enabling data-driven decision-making across sites. AI Based Financial Report Analyzer | Python, OpenAI ● Developed an AI-based Financial Report Analyzer with Python and OpenAI, automating financial summaries and reducing manual work by 40%. ● Designed simple data extraction pipelines (PDF/text) and pulled out key insights like financial metrics, SWOT analysis, and regional breakdowns.

Software Intern at GENPACT, Mar 2023 - Aug 2023 · 6 mos, ● Built and deployed a full-stack fitness website (NovaFit) using the MERN stack, enabling 100+ users to track workouts and progress. ● Designed and implemented RESTful APIs to support user authentication, data storage and retrieval. ● Digitized records for Tamaku NGO by creating a structured data management system, improving information retrieval speed by 50% and reducing manual errors.

Education

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, B. M. S. College of Engineering

PU, PCMB, srkvsmysuru

Public links

github: https://github.com/surajramesh651

surajkr651-portfolio.netlify.app: https://surajkr651-portfolio.netlify.app/