Daivya Shah

Computer Science undergraduate · Backend & AI/ML Intern

Bengaluru, Karnataka, India

@daivya_shah

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🎓 Bachelor of Engineering (B.E.), Computer Science and Engineering at BMS College of Engineering, Bangalore · Graduating 2027

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About

Computer Science undergraduate with internship experience in cloud-native backend development, CI/CD, data analytics, and AI workflow automation. Skilled in Python, Java, full-stack development, AWS, and applied machine learning.

Experience

Software Development Intern

NatWest Group · Bengaluru, India

Jun 2026 – Aug 2026

Developed an enterprise AWS Bedrock Agent Registry for publishing and discovering AI agents, MCP servers and reusable AI assets across the organization. Built API-driven publishing workflows and CI/CD pipelines using AWS Lambda, API Gateway and Terraform, cutting manual deployment effort for engineering teams. Engineered secure infrastructure as code with feature flags, VPC endpoints, network hardening and least-privilege IAM policies. Integrated dashboard components with Discovery APIs and implemented a LangGraph multi-agent workflow automating publishing, discovery and lifecycle validation.
Data Analyst Intern

Reliance Industries Limited · Jamnagar, India

Jun 2025 – Jul 2025

Built a Power BI Material Balance Dashboard on live SQL Server data via DirectQuery to monitor refinery operations in real time. Designed DAX measures for material efficiency tracking, plant-wise analytics and category-level KPI reporting. Partnered with cross-functional operations teams to translate data insights into operational decisions.

Education

2027

Bachelor of Engineering (B.E.)

BMS College of Engineering, Bangalore

Computer Science and Engineering (CSE) · 2023 – 2027

Computer Science and Engineering (CSE) · 2023 – 2027
Class XII

KDARFS, Jamnagar
Class X

KDARFS, Jamnagar

Skills

3 to 6 months

CI/CD

<3 months

C SQL DAX Oop Java NumPy React Python Pandas FastAPI Node.js LangChain LangGraph Socket.io Express.js JavaScript TypeScript scikit-learn Deep Learning LLM evaluation Machine Learning Natural Language Processing API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

3 to 6 months

Terraform

<3 months

S3 Git Linux MySQL Docker Lambda SQLite Bedrock MongoDB Kubernetes Microsoft Power BI Microsoft SQL Server Amazon Web Services AWS

Projects

AI Resume Analyzer

React, TypeScript, LLM APIs

Built a React and TypeScript app scoring resumes against job descriptions using ATS-style keyword-gap analysis, with LLM-generated suggestions and version tracking.
Real-Time Chat Application

MongoDB, Express.js, React.js, Node.js, Socket.IO

Built a MERN-stack messaging platform with Socket.IO for bidirectional real-time communication. Implemented authentication, typing indicators, online presence tracking and persistent chat history.
Emergency Call Prioritization System

Python, Scikit-learn, NLP

Trained ML models on call records and transcripts to classify emergency urgency and severity. Applied NLP preprocessing and feature engineering to rank incidents for faster dispatch prioritization.
Agent Evaluation Harness

FastAPI, React, React Query, SQLite, Python

Developed a full-stack framework benchmarking coding agents with deterministic test suites and automated scoring. Generated structured reports and failure analysis to compare agent performance across runs.
ClarifySQL — Natural Language to SQL Engine

FastAPI, Python, SQLite, SQLGlot, Pydantic, LLM APIs

Built a FastAPI service converting natural-language questions into safe, read-only SQL queries with an interactive web interface. Added ambiguity resolution, Pydantic validation and SQLGlot static analysis to block unsafe or destructive queries.
AI Resume Analyzer

React, TypeScript, LLM APIs

Built a React and TypeScript app scoring resumes against job descriptions using ATS-style keyword-gap analysis, with LLM-generated suggestions and version tracking.
Real-Time Chat Application

MongoDB, Express.js, React.js, Node.js, Socket.IO

Built a MERN-stack messaging platform with Socket.IO for bidirectional real-time communication. Implemented authentication, typing indicators, online presence tracking and persistent chat history.
Emergency Call Prioritization System

Python, Scikit-learn, NLP

Trained ML models on call records and transcripts to classify emergency urgency and severity. Applied NLP preprocessing and feature engineering to rank incidents for faster dispatch prioritization.
Agent Evaluation Harness

FastAPI, React, React Query, SQLite, Python

Developed a full-stack framework benchmarking coding agents with deterministic test suites and automated scoring. Generated structured reports and failure analysis to compare agent performance across runs.
ClarifySQL — Natural Language to SQL Engine

FastAPI, Python, SQLite, SQLGlot, Pydantic, LLM APIs

Built a FastAPI service converting natural-language questions into safe, read-only SQL queries with an interactive web interface. Added ambiguity resolution, Pydantic validation and SQLGlot static analysis to block unsafe or destructive queries.

Courses & certifications

Introducing Generative AI with AWS · Udacity
AWS Educate: Machine Learning Foundations · Amazon Web Services
Introducing Generative AI with AWS · Udacity
AWS Educate: Machine Learning Foundations · Amazon Web Services

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