Sai Dheeraj Yadavalli

B.E. Electrical & Electronics Engineering student · Software Development & ML enthusiast

Hyderabad, Telangana, India

@sai_dheeraj

0 followers

🎓 B.E. Electrical and Electronics Engineering at Birla Institute of Technology and Science, Pilani · Graduating 2027

About

Electrical and Electronics Engineering student at BITS Pilani, Hyderabad Campus with experience as a Software Development Engineer Intern and projects across full-stack development, RAG, and demand forecasting. Skilled in Python, JavaScript, Node.js, and machine learning tools, with a strong problem-solving background from competitive programming.

Experience

Software Development Engineer Intern

Society for Cyberabad Security Council · Hyderabad, India

May 2025 – Jul 2025

Built a Flutter/Firebase field-attendance platform for monitoring marshal attendance, live location, working status, and field activity across multiple police stations. Developed a real-time synchronization pipeline using Firebase Authentication, Firestore, GPS, and geofencing to validate check-ins and stream attendance and location updates to administrators. Created administrative workflows for tracking late check-ins, absences, working hours, and field coverage, with downloadable reports for operational review. Integrated Firebase Cloud Messaging to automate duty reminders, check-in notifications, and administrative alerts.

Education

2027

B.E. Electrical and Electronics Engineering

Birla Institute of Technology and Science, Pilani – Hyderabad Campus

Awarded by Birla Institute of Technology and Science, Pilani

Electrical and Electronics Engineering (EEE) · Aug 2023 – May 2027

Electrical and Electronics Engineering (EEE) · Aug 2023 – May 2027

Skills

<3 months

C SQL JWT RAG Oop Java Python Bullmq Node.js Express.js JavaScript Embeddings Forecasting Data Science LLM evaluation Machine Learning Model Evaluation Computer Networks Operating Systems Feature Engineering Artificial Neural Networks Database Management Systems API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

3 to 6 months

Firebase Firestore Firebase Authentication

<3 months

Git Redis Docker GitHub PostgreSQL

Projects

E-Commerce Platform

React.js, Node.js, Express.js, PostgreSQL, JWT

Built a full-stack e-commerce application with REST APIs for authentication, product discovery, cart management, checkout, and order processing. Designed a normalized PostgreSQL schema using UUID primary keys, foreign-key constraints, and role-based authorization for users, products, carts, and orders. Implemented an ACID-compliant checkout workflow using PostgreSQL transactions and SELECT FOR UPDATE row-level locking to preserve inventory consistency during concurrent purchases. Structured the backend using Routes–Controllers–Services–Repositories, centralized validation, and global error handling for maintainability.
Omni-Audit

Node.js, Express.js, PostgreSQL, Redis, BullMQ, Gemini API

Built a Retrieval-Augmented Generation (RAG) application for answering natural-language questions over uploaded policy and compliance documents. Engineered an end-to-end document pipeline for PDF extraction, chunking, embedding generation, semantic retrieval, and source-grounded answer generation. Moved embedding and indexing workloads to asynchronous Redis + BullMQ workers, preventing compute-heavy tasks from blocking API request processing. Implemented JWT authentication, bcrypt password hashing, PostgreSQL persistence, and retrieval-grounded LLM responses.
DemandAI – Demand Forecasting System

Python, scikit-learn, TensorFlow/Keras, ANN, LSTM

Built an end-to-end demand forecasting pipeline to predict future product demand from historical sales and temporal features. Performed data preprocessing and time-series feature engineering, including lag-based and rolling features, to capture demand trends and seasonality. Developed and compared Artificial Neural Network (ANN) and LSTM models for demand forecasting and evaluated predictive performance using regression error metrics. Integrated an LLM-based recommendation layer that uses forecast outputs and demand patterns to generate actionable inventory and replenishment suggestions.

🏆 Achievements & awards

Solved 400+ Data Structures and Algorithms problems

Solved 400+ Data Structures and Algorithms problems across competitive programming and coding platforms.
LeetCode rating of 1552

Achieved a LeetCode rating of 1552.

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.