Deterministic Indian Contract Red-Flag Scanner & Statutory Policy Engine. Formally validates rental agreements, tech bonds, and freelance MSAs using AWS Cedar and Strands SDK.
Lakshmi Pranay TejRavulakol
Undergraduate engineer & researcher architecting resilient autonomous agents, deep learning pipelines, and production systems from first principles to scale.
Who I Am.
Turning deep learning research into robust, end-to-end software.

Lakshmi Pranay Tej
AI/ML Developer & Full-Stack Engineer
I'm Pranay Tej, a Computer Science student at KG Reddy College of Engineering & Technology, Hyderabad, dedicated to building full-stack systems and AI-powered products that actually work end-to-end — turning research into production, not just models in a notebook. My work spans both sides: full-stack engineering (React, Node.js, FastAPI, scalable REST APIs) and applied AI/ML (deep learning, GANs, NLP, computer vision, generative AI). I thrive on problems where both converge — building the model and architecting the resilient system that serves it reliably at scale.
Some of what I've shipped includes EduTrackX, a full-stack academic management platform with role-based access and AI-powered grading; RetroScan-AI, a YOLOv8-based road asset detection system with a high-throughput FastAPI backend and real-time React dashboard; Clarilaw.ai, a legal-intent classification microservice achieving 92.4% accuracy across 7,250+ queries; and a CycleGAN-based OCR pipeline for handwriting adaptation and medical prescription processing, complete with automated testing and CI/CD.
On the engineering front, I serve as an AI Software Developer Intern at KG Reddy (Jul 2026–Present), contributing to full-stack web applications, backend services, and production AI integrations in a live engineering environment. Previously, as a Technical Intern at India Space Lab (Skill India), I engineered 3D aerodynamic simulations of the Cessna 210 using OpenVSP and executed vector-based QGIS spatial site analyses; and as a Research Intern at CBIT, I developed supervised healthcare NLP/CV neural network pipelines with real-time REST API integration. Alongside winning 1st Prize at Festronix 2026, 2nd at Techxplore '25, and Runner-Up at AI Sudhee '25, I'm focused on scaling impactful software where AI delivers real-world utility.
Full-Stack Engineering
React, Node.js, FastAPI, robust REST APIs, and scalable web architectures.
Applied AI / ML
Deep learning, GANs, NLP, computer vision, and production model serving.
End-to-End Delivery
Shipping tested, reliable products to real users — not just isolated notebooks.
Engineering Stack & Architecture.
Production technologies, machine learning frameworks, and infrastructure tools categorized by system layer.
Applied AI & Neural Architectures
Scope:Supervised CV & NLP pipelines, medical handwriting GAN adaptation, real-time object detection inference, transformer tokenization.
Backend Services & Distributed APIs
Scope:High-throughput asynchronous REST endpoints, role-based authorization policy engines, containerized services, relational schema design.
Core Languages & Algorithmic Foundations
Scope:Algorithmic problem-solving, clean OOP design patterns, asymptotic complexity optimization, type-safe application architecture.
Infrastructure, Automated CI/CD & Reliability
Scope:Automated test suites, continuous integration workflows, multi-stage containerization, reproducible deployment lifecycles.
Frontend Engineering & Interaction Systems
Scope:High-performance responsive web applications, real-time telemetry dashboards, accessible component design systems.
Spatial Intelligence & Scientific Simulation
Scope:3D aerodynamic aircraft modeling, multi-layered spatial site suitability analysis, vector calculations, high-dimensional data processing.
Selected Engineering Work.
Featured open-source systems, models, and full-stack platforms from my GitHub repository archive.
Enterprise-grade mobile ecosystem for forest protection and ranger operations, featuring real-time GPS patrol tracking, offline-first incident reporting, and AI-powered remote monitoring.
End-to-end ML engineering system for legal intent classification and NLP analytics. Built with fine-tuned Hugging Face Transformers, PyTorch, and a production FastAPI service.
AI-powered retroreflectivity measurement and road asset monitoring system designed for NHAI standards, evaluating night-time visibility, signages, and road markings.
Deep learning medical prescription OCR pipeline utilizing CycleGAN domain adaptation, Microsoft TrOCR, and OpenCV segmentation to accurately transcribe complex doctor handwriting.
Full-stack AI student academic operating system featuring ML-driven grade prediction, Tesseract OCR grade extraction, automated study timetables, and gamified productivity.
Professional Experience.
Roles in production AI development, spatial aerodynamics research, and neural network pipelines.
AI Software Developer Intern
KG Reddy College of Engineering and Technology
- Contributing to full-stack web applications, backend services, and AI integrations — applying end-to-end software engineering principles and development best practices in a live engineering environment.
Technical Intern
India Space Lab (Skill India | Viksit Bharat Abhiyan)
- Completed hands-on training across Advanced Drone Technology, Remote Sensing & GIS, CanSat/CubeSat Satellite Systems, Rocketry Science, and Disaster Management.
- Engineered a 3D aerodynamic simulation of the Cessna 210 (NASA Variant) using OpenVSP and executed a vector-based GIS site-suitability analysis using multi-layered spatial datasets in QGIS.
Research Intern
Chaitanya Bharathi Institute of Technology (CBIT)
- Engineered supervised-learning NLP and Computer Vision neural network modules for a healthcare AI system using Python, PyTorch, and OpenCV — covering data preprocessing, feature engineering, model training, hyperparameter tuning, and cross-validation.
- Integrated the trained models into a REST API pipeline, enabling real-time inference for NLP text classification and CV-based diagnostic workflows.
B.Tech in Computer Science
KG Reddy College of Engineering and Technology
Verified Certifications.
Accredited foundational credentials across cloud infrastructure, generative AI, and machine learning.
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Principles of Generative AI
Machine Learning for All
Recognition.
Webathon · Festronix 2026
Vardhaman College of Engineering
AI Chatbot Challenge · Techxplore 2025
J.B.R. Engineering College
UI/UX Design Hackathon · AI Sudhee 2025
Chaitanya Bharathi Institute of Technology (CBIT)
Let's Build Something.
Open to internships, research collabs, and exciting AI projects.
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