RAKESH
Rakesh Babu Gajula

Software Developer | AIML Explorer

Hi, I'm Rakesh Babu Gajula.

I’m a Computer Science Engineering student at Guru Nanak Institutions Technical Campus, with hands-on experience building Software applications, AI/ML systems, Generative AI applications, RAG-based solutions, data pipelines, and backend APIs. I enjoy turning real-world problems into practical software solutions using Python, Machine Learning, LLMs, Computer Vision, and modern AI frameworks.

RAKESH BABU GAJULA • SOFTWARE DEVELOPER • AIML EXPLORER • RAKESH BABU GAJULA • SOFTWARE DEVELOPER • AIML EXPLORER •
DEVELOPER ID
Rakesh Babu Gajula

Rakesh Babu Gajula

Software Developer | AIML Explorer
CSE
GNITC
2023 - 2027
★

The periodic table of my stack.

Things I've built.

01

Zepto E-Commerce Catalog Data Engineering Pipeline

Data Engineering & ETL Warehousing · SQLite 3NF · 100% Data Parity
Python SQLite3 Pandas BeautifulSoup4
01 / Data Engineering & ETL Warehousing

Zepto E-Commerce Catalog Data Engineering Pipeline

Production-grade, end-to-end data engineering pipeline built for competitive catalog intelligence. Automatically scrapes multi-page listings, executes median imputation and currency normalization, populates a 3NF relational SQLite warehouse, and validates analytical queries with 100% data parity against Pandas.

  • Automated web extraction crawler using BeautifulSoup & Requests traversing paginated catalogs across 29 product categories.
  • Robust cleansing engine with regex price extraction, text-to-integer star mapping, and median imputation for outlier resilience.
  • 3NF normalized SQLite schema with strict foreign key constraints and dual-engine SQL vs. Pandas cross-validation with 100% data parity.
Python 3.8+ SQLite3 Pandas BeautifulSoup4 3NF Schema ETL Pipeline Data Parity
Illustrative UI
ETL PIPELINE & 3NF DATA PARITY
01 Ingestion Requests + BS4 (100 Books / 29 Cats)
02 Cleansing Median Impute · 105.50 INR fx
03 3NF Warehouse SQLite books.db (FK PRAGMA ON)
Dual-Engine Cross-Validation 100% PERFECT MATCH
SQL JOIN == pd.merge ZERO SCHEMA VARIANCE
02 / Machine Learning & Statistical Modeling

Titanic Analytics & Leakage-Free Predictive ML Pipeline

End-to-end, production-grade machine learning and EDA pipeline applied to the Titanic dataset. Engineered with leakage-free ColumnTransformers, SMOTE class imbalance mitigation, 5-fold GridSearchCV Random Forest tuning, and serialized Joblib model deployment.

  • Leakage-free preprocessing architecture utilizing scikit-learn ColumnTransformer and Pipeline fitted strictly on training folds.
  • Tuned Random Forest ensemble achieving 81.46% test accuracy, 0.7442 F1-score, and 0.8073 Out-of-Bag (OOB) validation score.
  • Continuous fare regression with residual heteroscedasticity analysis, serialized as pipeline.joblib for direct raw inference.
Python 3.10+ scikit-learn Pandas NumPy Random Forest SMOTE Joblib
Illustrative UI
ML BENCHMARK & PIPELINE SCORECARD
Test Accuracy 81.46%
F1-Score 0.7442
OOB Score 0.8073
ROC-AUC 0.8197
Artifact: pipeline.joblib INFERENCE READY
CV: 5-Fold Stratified LEAK-FREE FITTED
03 / Enterprise Agentic AI & RAG Microservice

Zepto Customer Support AI Assistant - Stateful RAG Microservice

Enterprise-grade, stateful Retrieval-Augmented Generation (RAG) backend microservice engineered for quick-commerce support operations. Combines LangGraph StateGraph routing, local ChromaDB vector retrieval, and Pydantic v2 validation with zero hallucination.

  • Stateful LangGraph StateGraph dynamically routing queries between policy retrieval and direct answer channels.
  • Local ChromaDB vector store indexed with 384-dimensional sentence-transformers (all-MiniLM-L6-v2) using HNSW cosine metric.
  • Strict Pydantic v2 schema enforcement with 2-stage corrective retry loop and Docker-containerized FastAPI microservice.
Python 3.10+ FastAPI LangGraph ChromaDB Sentence-Transformers Pydantic v2 Docker
Illustrative UI
LANGGRAPH STATEGRAPH & VECTOR RAG
01 Ingress POST /ask ➔ classify_intent
02 Vector Retrieval ChromaDB Top-3 (HNSW Cosine)
03 Grounded Synthesis 5-Skeleton Anti-Hallucination
StructuredResponse (Pydantic v2) CONFIDENCE 1.0
FastAPI + Docker :7860 POLICY GROUNDED
04 / Autonomous Aerial Defense

AI-Driven UAV Collision & Intrusion Detection System

AI-powered UAV safety system leveraging YOLOv8 object detection and real-time video analysis to detect drones, monitor airspace activity, and enhance operational safety in autonomous aerial environments.

  • Collision prediction and intrusion detection algorithms using synthetic flight path simulation.
  • Calculates minimum separation distances and triggers alerts for restricted airspace violations.
  • Interactive Streamlit monitoring dashboard with 2D visualizations & JSON event logging.
Python YOLOv8 OpenCV Streamlit NumPy Pandas Computer Vision
Illustrative UI
AIRSPACE RADAR TELEMETRY
ALT: 420m · SPD: 48kt PROXIMITY ALERT 0.8km
05 / Multi-Agent Proctoring & Tutoring

ExamIntellect AI Proctoring Platform

Production-grade multi-agent AI system for online exam proctoring, combining real-time computer vision (OpenCV) and audio analysis with an LLM-driven remediation engine.

  • Detects multiple faces, gaze deviation, face absence, and suspicious speech with severity alerts.
  • Generates personalized 4-week study plans and targeted learning content via Gemini & OpenAI.
  • End-to-end monitoring dashboard with SQLite-backed persistence and automated incident reporting.
Python OpenCV Streamlit Gemini LLM SQLite REST APIs Flask
Illustrative UI
Face Lock: 99.8%
Gaze Vector: Center
Audio Anomaly: None
Study Plan: Active
06 / Autonomous Digital Compliance

ECOS Agent - Autonomous Compliance Officer

Autonomous compliance system utilizing Google Gemini Agentic AI to analyze incoming enterprise data in real time, identify PII, and make compliance decisions with zero human intervention.

  • Real-time automated compliance pipeline analyzing incoming payloads to detect confidential records and sensitive PII.
  • Event-driven workflow using n8n for secure CRM synchronization & PostgreSQL parameterized updates.
  • Enterprise-grade auditability with immutable logging, risk-based tagging, and SQL-injection-safe queries.
Google Gemini n8n Automation PostgreSQL REST APIs Webhooks Data Governance
Illustrative UI
01 Ingest Payload Webhook Live
02 Gemini PII Filter Sensitivity 99.4%
03 NeonDB Postgres Audit Ledger Saved
07 / Smart Mobility & Contactless Travel

Govinda Marg - QR-Based Smart Bus Ticketing

Contactless smart ticketing system digitizing bus travel on the high-density Tirupati ↔ Tirumala route, reducing manual queues and enabling one-tap ticket validation.

  • Dynamic QR code generation enabling instant, tamper-proof digital ticket validation for high-density transit routes.
  • Integrated conversational AI chatbot with voice assistance to support multi-language booking and route guidance.
  • MongoDB-backed scalable backend architecture managing real-time seat allocations, passenger verification, and pass status.
Node.js MongoDB JavaScript Chatbot Voice Support
Illustrative UI
APSRTC SMART PASS TIRUPATI ↔ TIRUMALA
Pass #GM-8492
Status: VERIFIED ACTIVE
1-Tap Fast Validation
08 / FinTech Travel Flexibility

Abhi’s SeatSure - ReBook & ReSell Platform

Flexi Ticket Add-On system enabling travelers to ReBook or ReSell tickets instead of canceling, mitigating financial losses and driving booking confidence.

  • Core booking workflows: seat selection, OTP login, fare-difference rebooking, and resale refunds.
  • ReBook Probability Indicator to guide informed booking decisions based on historical route demand.
  • Full-stack React & Node.js architecture with real-time status management.
React.js JavaScript ES6+ Node.js Context API REST APIs
Illustrative UI
SEAT SELECTION & REBOOK RADAR
A1
A2
B1
B2
C1
C2
D1
D2
ReBook Probability: 94% High
09 / Speech AI & Multilingual NLP

Real-Time Voice Translator

End-to-end speech-to-speech translation system capturing live microphone input, performing speech recognition, translating into target language, and synthesizing speech across 15+ global and Indian languages.

  • Developed in collaboration with Viswam.AI / Swecha open data initiative.
  • Continuous listening stream with real-time transcription and audio playback.
  • Built with Streamlit, deep-translator, and Google Speech Recognition APIs.
Python 3.10+ Streamlit SpeechRecognition gTTS Deep-Translator
Illustrative UI
LIVE SPEECH INGESTION STREAM
EN Speech ➔ NLP Pipeline ➔ TE Synthesis

Engineering & industry internships.

Jan 2026 - Feb 2026 · 6 Weeks

AI & Machine Learning Intern

IBM SkillsBuild · Edunet Foundation, AICTE

Structured internship delivering end-to-end model training, data preprocessing, and live deployment.

  • Built an end-to-end Fake News Detection system using LSTM neural networks independently.
  • Achieved ~95% validation accuracy, demonstrating strong model performance on unseen data.
  • Deployed model as an interactive web application on Streamlit and Hugging Face Spaces.
Aug 2025 - Oct 2025

AI & ML Engineering Intern

Viswam.AI · Swecha (Open AI Data Initiative)

Collaborative open-source AI engineering creating ethical language data and conversational tooling.

  • Contributed 100+ high-quality data assets to the Swecha AI Corpus (text, image, documents, audio).
  • Co-developed the Real-Time Voice Translator speech-to-speech translation pipeline.
  • Built individual AI Chat Assistant focusing on conversational logic and prompt handling.
  • Recognized by Viswam.AI leadership with an official repost of project contributions.

Next - Your team?

Ready to contribute to high-impact production AI, software applications, and scalable backend platforms.

Let's connect

Academic foundation & specialized studies.

IIT Patna Vishlesan i-Hub Jan 2026 - Jun 2026

Vishlesan i-Hub, IIT Patna

Artificial Intelligence & Machine Learning (Online)
Masai School Collaboration

Selected after clearing competitive entrance test. Intensive curriculum covering AI, ML, GenAI, Python, SQL, and hands-on capstone engineering under industry guidance.

Guru Nanak Institutions Technical Campus 2023 - 2027

Guru Nanak Institutions Technical Campus

B.Tech in Computer Science and Engineering
Hyderabad, Telangana · Undergraduate

Comprehensive study of Computer Science fundamentals, data structures and algorithms, software architecture, operating systems, database management, and modern intelligent systems.

Narayana Junior College 2021 - 2023

Narayana Junior College

Intermediate (Maths, Physics, Chemistry)
Kurnool, Andhra Pradesh · GPA: 9.37

Graduated with distinction (9.37 GPA), cementing strong foundations in higher mathematics, logical problem solving, and analytical thinking.

Always learning.

Continuous specialized training across LLMs, agentic systems, cloud data platforms, and core engineering fundamentals.

01

Generative AI and ChatGPT - Self Paced

GeeksforGeeks · June 2026

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02

Google AI Essentials & Prompting Essentials (2 Certificates)

Google AI · May 2026

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03

Claude AI and Anthropic API Course

Claude · Anthropic · March 2026

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04

Microsoft Fabric Data Agents Event (6 Photos)

Microsoft Office, Hyderabad · Jan 2026

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05

5-Day AI Agents Intensive Course

Google × Kaggle · Dec 2025

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06

AI For All Program (Intel & Digital India)

Intel · Government of India · 2025

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07

AI Prompt Engineering Masterclass (5 Photos)

Microsoft × Reliance Digital · Sept 2025

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08

Generative AI in the Classroom

Adobe Education Exchange · Sept 2025

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09

CMR THINKFEST 2.0 National Competition (4 Photos)

CMR CEER · Hyderabad · Aug 2025

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10

Programming in Java (Elite NPTEL)

IIT Kharagpur · Ministry of Education · 2025

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11

Python for Data Science

IBM · Cognitive Class · April 2025

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12

TCS iON Career Edge - Young Professional

Tata Consultancy Services · April 2025

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13

Hack-Arena National Hackathon (3 Photos)

IEEE Student Branch GNI · Nov 2024

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Overview

Key Learning Outcomes & Skills

Let's   build
something   together.

Hyderabad, Telangana, India

Open to Opportunities
HITEC City · IT Corridor
Charminar · Heritage Hub
Secunderabad
17.3850° N, 78.4867° E · HYD

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