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DAIVYA
● Open to Opportunities · Graduating 2027

DAIVYA Shah

Software Engineer  ·  AI/ML  ·  Full-Stack Developer

B.E. Computer Science · BMS College of Engineering · CGPA 9.53 / 10

Ex-Intern @ Reliance Industries & NatWest Group

Daivya Shah
SCROLL
MERN
AWS
LangGraph
Python

Building things
that matter.

DS

I'm a Computer Science & Engineering student at BMS College of Engineering, Bangalore — 4th year student.

I build production-ready full-stack applications, AI-powered systems, and cloud infrastructure. I have hands-on internship experience at Reliance Industries and NatWest Group, and I'm actively seeking roles in Software Engineering, AI/ML, or Full-Stack Development.

My work spans MERN-stack products, LLM pipelines, AWS cloud infrastructure, and data analytics — always focused on shipping reliable, impactful software.

20+
GitHub Repos
2
Internships
5+
Live Projects

Where I've
worked.

June 2026 – Aug 2026 Software Development Intern
NatWest
NatWest Group
Bengaluru, India
  • Contributed to an Enterprise AWS Bedrock Agent Registry for AI agent publishing and discovery.
  • Built CI/CD pipelines and API-driven workflows using AWS Lambda, API Gateway, Terraform.
  • Developed secure infrastructure with VPC endpoints, network hardening, and least-privilege IAM.
  • Integrated Synapse dashboard components with Discovery APIs for AI resource search.
  • Built a LangGraph multi-agent workflow for publishing, discovery, and lifecycle validation.
AWS BedrockTerraformLangGraphLambdaCI/CD
June 2025 – July 2025 Data Analyst Intern
Reliance
Reliance Industries
Jamnagar, India
  • Developed a Power BI Material Balance Dashboard integrating live SQL Server data via DirectQuery.
  • Designed DAX measures for material efficiency tracking and plant-wise KPI reporting.
  • Collaborated cross-functionally to deliver actionable insights for refinery operations.
Power BISQL ServerDAXDirectQuery

Things I've
built.

01
FastAPIReactSQLitePython

Agent Eval Harness

Evaluation framework for coding agents with deterministic tests, automated scoring, structured reports, and failure analysis. Built with FastAPI + React Query.

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02
FastAPISQLiteSQLGlotLLM

ClarifySQL

Converts plain-English questions into safe, read-only SQL. Features ambiguity handling, Pydantic validation, SQLGlot safety checks, and interactive web UI.

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03
PythonLangGraphAI Agents

Agentic Research Platform

Multi-agent research platform leveraging LangGraph for autonomous web research, summarization, and structured report generation.

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04
ReactTypeScriptGPT API

AI Resume Analyzer

Analyzes resumes for specific job roles with ATS scoring, keyword-gap analysis, GPT-based improvement suggestions, and resume tracking. Live on Vercel.

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05
PythonMLNLPScikit-learn

Emergency Call Prioritization

ML system to classify emergency-call urgency and severity from call records and transcripts, supporting faster incident response prioritization.

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06
MongoDBExpressReactSocket.IO

Real-Time Chat App

MERN-stack messaging app with Socket.IO for real-time communication, typing indicators, online presence, and persistent chat history.

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07
PythonMLJupyter

Flood Prediction Model

Machine learning model for flood prediction using environmental and historical data. One of the most-starred repositories on the profile.

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08
JavaScriptReactFull-Stack

Hirrd — Job Platform

Full-featured job hiring application with job listings, candidate management, and recruiter tools. Deployed on Vercel.

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09
PythonFastAPIMLStreamlit

CropAI

Agricultural ML platform for crop disease detection, crop recommendation, and yield prediction. Built with FastAPI, Streamlit, and scikit-learn pipelines.

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View All on GitHub →

What I
work with.

Languages
C++PythonJavaCJavaScript
Development
React.jsNode.jsExpress.jsMongoDBFastAPITypeScript
AI / ML
LangGraphLangChainScikit-learnDeep LearningNLPAWS Bedrock
Cloud & DevOps
AWS LambdaTerraformDockerKubernetesAPI GatewayCI/CD
Core CS
DSAOOPOSDBMS
Tools
GitGitHubPower BIVS CodeJupyterLinux

Let's build
something.

Open to internships, full-time roles, freelance projects, and interesting collaborations.