Shaun Mendes profile photo 1 on Tal

Shaun Mendes

AI Development Intern @ Siemens DI SW | Ex-Data Engineering Intern @ Jio | B.E. Computer Engineering @ Fr. CRCE

Mumbai

1+ year of work experience

Siemens Digital Industries Software
Feb 20265 moJul 2026

Chennai

• Developed an AI-powered copilot replacing menu-driven workflows with a conversational interface for complex version-control operations; built an MCP server over a Spring Boot/gRPC backend that auto-generated LLM-discoverable tools from OpenAPI specs, exposing capabilities to both the application UI and external AI-enabled IDEs • Engineered hybrid intent routing and semantic tool filtering (384-dim sentence-transformer) to reduce 100+ candidate tools to3–8 per request, cutting LLM API costs ∼75% while minimizing inference load • Architected an automated defect investigation pipeline across 8 interdependent repositories; fetched Jira issues, resolved ambiguous component mappings, and orchestrated AI-assisted root cause analysis using GitHub Copilot and Siemens-hosted LLMs • Generated structured triage reports (suspect commits, impacted files, fix recommendations, test strategies) and auto-published them back to Jira, giving developers a pre-investigated starting point that significantly reduced initial manual investigation time • Designed a 3-stage GitLab CI/CD pipeline (lint → test → build) automating 1,000+ test executions and packaged deployment
Fr. Conceicao Rodrigues College of Engineering
Jun 20252 moAug 2025

Mumbai, Maharashtra, India

Conducted research on Large Language Model fine-tuning under Prof. Joshua Michel & Dr. Sujata Deshmukh. Led evaluation of fine-tuning strategies including LoRA, DPO, and ORPO across GPT-2, Gemma3 (4B), and Llama 3.1 (8B) models. Achieved 78.6% accuracy using Llama 3.1 + DPO, improving baseline performance by 22%. Published 6 models on Hugging Face platform.
Modern Solutions Hub
Dec 20246 mosMay 2025

Mumbai, Maharashtra, India

Led a 14-member team across AI, frontend, and backend for an AI-powered homeopathy consultation platform. Designed microservices and modular APIs; implemented RAG architecture and Docker-based deployments. Received “Best Rising Leader” and “Best Rising Star” awards.
Jio Platforms Limited (JPL)
Jun 20241 moJul 2024

Navi Mumbai

Worked on device analytics project using Apache Spark (Scala), Hive, and MapReduce

Shaun’s AI Stack

claude code
claude code
github copilot
github copilot
hugging face
hugging face
langgraph
langgraph
mcp
mcp

Education

Fr. Conceicao Rodrigues College of Engineering

Bachelor of Engineering - BE, Computer Engineering

Fr. Conceicao Rodrigues College of Engineering

20224 yrs2026
Pace Junior Science College

Pace Junior Science College

20202 yrs2022

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Headline

AI Development Intern @ Siemens DI SW | Ex-Data Engineering Intern @ Jio | B.E. Computer Engineering @ Fr. CRCE

About

I’m a Computer Engineering student at Fr. CRCE, Mumbai (Batch of 2026), with a strong passion for building impactful, scalable tech products. My journey spans across AI, full-stack development, blockchain, generative AI, and data engineering. I’ve worked as: • Data Engineering Intern at Jio Platforms – learning big data tools like Hive, Spark, and MapReduce, and contributing to CI/CD pipelines. • AI Engineer at SimpleSurface – building an AI-powered RAG with a custom interactive frontend. • Technical Lead Intern at Modern Hub Solutions – led a 14-member team to build an AI-powered homeopathy platform. I’ve authored a Scopus-indexed research paper, hold a published utility patent on a smart kitchen inventory system, and have led winning teams at national hackathons (MIT Chennai, Neural Nexus, Google AI for Impact APAC). Former Vice Chairperson and Co-Lead at GDSC CRCE, where I organized India’s only international hackathon and taught 200+ students through bootcamps on web, AI, and cloud. I enjoy building real-world systems that are both technically sound and actually useful to people. Whether it’s tech, team, or product vision, I enjoy being part of the whole process.

Location

Mumbai

AI stack

claude code

github copilot

hugging face

langgraph

mcp

Work experience

AI Development Intern at Siemens Digital Industries Software, Feb 2026 - Jul 2026 · 5 mo, Chennai, • Developed an AI-powered copilot replacing menu-driven workflows with a conversational interface for complex version-control operations; built an MCP server over a Spring Boot/gRPC backend that auto-generated LLM-discoverable tools from OpenAPI specs, exposing capabilities to both the application UI and external AI-enabled IDEs • Engineered hybrid intent routing and semantic tool filtering (384-dim sentence-transformer) to reduce 100+ candidate tools to3–8 per request, cutting LLM API costs ∼75% while minimizing inference load • Architected an automated defect investigation pipeline across 8 interdependent repositories; fetched Jira issues, resolved ambiguous component mappings, and orchestrated AI-assisted root cause analysis using GitHub Copilot and Siemens-hosted LLMs • Generated structured triage reports (suspect commits, impacted files, fix recommendations, test strategies) and auto-published them back to Jira, giving developers a pre-investigated starting point that significantly reduced initial manual investigation time • Designed a 3-stage GitLab CI/CD pipeline (lint → test → build) automating 1,000+ test executions and packaged deployment

Research Intern at Fr. Conceicao Rodrigues College of Engineering, Jun 2025 - Aug 2025 · 2 mo, Mumbai, Maharashtra, India, Conducted research on Large Language Model fine-tuning under Prof. Joshua Michel & Dr. Sujata Deshmukh. Led evaluation of fine-tuning strategies including LoRA, DPO, and ORPO across GPT-2, Gemma3 (4B), and Llama 3.1 (8B) models. Achieved 78.6% accuracy using Llama 3.1 + DPO, improving baseline performance by 22%. Published 6 models on Hugging Face platform.

Project Lead – AI Platform (Intern) at Modern Solutions Hub, Dec 2024 - May 2025 · 6 mos, Mumbai, Maharashtra, India, Led a 14-member team across AI, frontend, and backend for an AI-powered homeopathy consultation platform. Designed microservices and modular APIs; implemented RAG architecture and Docker-based deployments. Received “Best Rising Leader” and “Best Rising Star” awards.

Data engineer at Jio Platforms Limited (JPL), Jun 2024 - Jul 2024 · 1 mo, Navi Mumbai, Worked on device analytics project using Apache Spark (Scala), Hive, and MapReduce

Education

Bachelor of Engineering - BE, Computer Engineering, Fr. Conceicao Rodrigues College of Engineering

Pace Junior Science College

Public links

github: https://github.com/MetaSonic001

shaunmendes.vercel.app: https://shaunmendes.vercel.app/