Mohith Gowda K profile photo 1 on Tal

Mohith Gowda K

SAP Labs | Ex-OpenText | SJCE CSE’25 | Open Source Contributer | AI/ML Researcher | Interested in AI Tech

Bengaluru

3+ years of work experience

SAP
Jan 20268 mosPresent

As an Early Talent Ambassador at SAP, I represent the organization by engaging with students and early-career professionals, sharing insights into SAP's culture and career opportunities. I support campus and talent engagement initiatives while helping build awareness of SAP's programs. Through networking and advocacy, I contribute to attracting and inspiring future talent to join SAP.
SAP
Jul 20251 yr 2 mosPresent

Bengaluru, Karnataka, India

•Developed Agentic AI & MCP architectures, ranking in the top 7 of 300+ global teams for platform innovation hackathon. • Engineered a production-grade MCP server for GitHub Copilot, slashing SAP Note/KBA retrieval and debugging time by 50%. •Lead technical RCA and validation for Invoice Verification and P2P flows across 125+ complex automation scenarios for global clients. •Resolved critical S/4HANA Public Cloud failures through deep-level code debugging and Sourcing & Procurement process optimization.
Independent
Oct 20232 yrs 11 mosPresent

Mysore, Karnataka, India

• Built and open-sourced GraphSearch, a GraphQL RAG API server (Python/FastAPI) with ready packaging, CI/CD, and a generated TypeScript client - pypi.org/project/graphsearch-rag • Architected and deployed production-grade Agentic AI frameworks, enhancing automation and spatial-temporal problem-solving capabilities. • Developed a Model Context Protocol (MCP) server in Python, facilitating AI assistants to manage GitHub projects via GraphQL APIs. • Conducted deep learning research, achieving a 0.9722 UF1 score on micro-expression recognition benchmarks. •ContextBuddy is for those who have worked with LLMs and encountered issues like bloated prompts, blown context windows, and unpredictable costs, ContextBuddy serves as a lightweight “compression layer” that operates between your raw context (documents, repositories, text) and the LLM call.
SAP
Jan 20257 mosJul 2025

Bengaluru, Karnataka, India

• Provided solutions for issues in SAP S/4 HANA Cloud Sourcing and Procurement modules, ensuring smooth system performance. • Diagnosed and resolved technical issues, offering timely solutions to maintain service continuity. • Collaborated with teams to address system challenges and improve user experience. • Delivered proactive assistance to clients, optimizing workflows and SAP S/4 HANA features.
OpenText
Oct 20243 mosDec 2024

Bengaluru, Karnataka, India

• Developed drivers for Identity Management (IDM) software using Java and SQL, enhancing backend functionality. • Collaborated with industry experts to design and implement efficient solutions aligned with project goals. • Gained hands-on experience with JDBC, REST APIs, networking, and backend server development. • Contributed to building a REST driver for the GWS application, streamlining integration processes. • Investigated and analyzed API endpoints for applications like Box, GitLab, and GWS to optimize compatibility and performance.
Soul AI
Aug 20243 mosOct 2024

Remote

• Evaluated and optimized the efficiency of AI-generated prompts to enhance model performance and user experience. • Provided actionable feedback to improve prompt clarity, relevance, and adaptability across diverse use cases. • Contributed to refining AI systems by testing and analyzing prompt responses to ensure accuracy and alignment with project goals.
GitHub
@mohithgowdak
LeetCode
@wintersoldie
Personal portfoliomohithgowdak.vercel.app

Mohith’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
cursor
cursor
opencode
opencode
claudecode
claudecode

Education

Sri Jayachamarajendra College of Engineering

Bachelor of Engineering - BE, Computer Software Engineering

Sri Jayachamarajendra College of Engineering

20214 yrs2025

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Headline

SAP Labs | Ex-OpenText | SJCE CSE’25 | Open Source Contributer | AI/ML Researcher | Interested in AI Tech

About

AI Engineer specializing in agentic workflows, LLM infrastructure, and context-optimized systems. Built and shipped ContextBuddy - an open source Python library that compresses LLM context by 60-80% while preserving critical entities, with MCP server, LangGraph integration, and pluggable embedder support. Experienced in production MCP servers, multi-agent coordination with LangGraph, CUDA-accelerated inference, and FastAPI async backends. Published researcher (IC AISMART 2025). Top 5 of ~300 teams at SAP internal hackathon for agentic AI prototype

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

cursor

opencode

claudecode

Work experience

Early Talent Ambassador at SAP, Jan 2026 - Present · 8 mos, As an Early Talent Ambassador at SAP, I represent the organization by engaging with students and early-career professionals, sharing insights into SAP's culture and career opportunities. I support campus and talent engagement initiatives while helping build awareness of SAP's programs. Through networking and advocacy, I contribute to attracting and inspiring future talent to join SAP.

ERP Cloud Support Engineer - SAP S/4 HANA Cloud, Public Edition at SAP, Jul 2025 - Present · 1 yr 2 mos, Bengaluru, Karnataka, India, •Developed Agentic AI & MCP architectures, ranking in the top 7 of 300+ global teams for platform innovation hackathon. • Engineered a production-grade MCP server for GitHub Copilot, slashing SAP Note/KBA retrieval and debugging time by 50%. •Lead technical RCA and validation for Invoice Verification and P2P flows across 125+ complex automation scenarios for global clients. •Resolved critical S/4HANA Public Cloud failures through deep-level code debugging and Sourcing & Procurement process optimization.

OpenSource Software Engineer (GenAI & Agentic Systems) at Independent, Oct 2023 - Present · 2 yrs 11 mos, Mysore, Karnataka, India, • Built and open-sourced GraphSearch, a GraphQL RAG API server (Python/FastAPI) with ready packaging, CI/CD, and a generated TypeScript client - pypi.org/project/graphsearch-rag • Architected and deployed production-grade Agentic AI frameworks, enhancing automation and spatial-temporal problem-solving capabilities. • Developed a Model Context Protocol (MCP) server in Python, facilitating AI assistants to manage GitHub projects via GraphQL APIs. • Conducted deep learning research, achieving a 0.9722 UF1 score on micro-expression recognition benchmarks. •ContextBuddy is for those who have worked with LLMs and encountered issues like bloated prompts, blown context windows, and unpredictable costs, ContextBuddy serves as a lightweight “compression layer” that operates between your raw context (documents, repositories, text) and the LLM call.

Sap iXP at SAP, Jan 2025 - Jul 2025 · 7 mos, Bengaluru, Karnataka, India, • Provided solutions for issues in SAP S/4 HANA Cloud Sourcing and Procurement modules, ensuring smooth system performance. • Diagnosed and resolved technical issues, offering timely solutions to maintain service continuity. • Collaborated with teams to address system challenges and improve user experience. • Delivered proactive assistance to clients, optimizing workflows and SAP S/4 HANA features.

Software Engineering Intern - IDM Application Development at OpenText, Oct 2024 - Dec 2024 · 3 mos, Bengaluru, Karnataka, India, • Developed drivers for Identity Management (IDM) software using Java and SQL, enhancing backend functionality. • Collaborated with industry experts to design and implement efficient solutions aligned with project goals. • Gained hands-on experience with JDBC, REST APIs, networking, and backend server development. • Contributed to building a REST driver for the GWS application, streamlining integration processes. • Investigated and analyzed API endpoints for applications like Box, GitLab, and GWS to optimize compatibility and performance.

Freelance Prompt Tester at Soul AI, Aug 2024 - Oct 2024 · 3 mos, Remote, • Evaluated and optimized the efficiency of AI-generated prompts to enhance model performance and user experience. • Provided actionable feedback to improve prompt clarity, relevance, and adaptability across diverse use cases. • Contributed to refining AI systems by testing and analyzing prompt responses to ensure accuracy and alignment with project goals.

Education

Bachelor of Engineering - BE, Computer Software Engineering, Sri Jayachamarajendra College of Engineering

Public links

github: https://github.com/mohithgowdak

leetcode: https://leetcode.com/wintersoldie

mohithgowdak.vercel.app: https://mohithgowdak.vercel.app/