PATCHIPALA
SRINIVAS
We engineer immersive digital experiences through spatial logic and advanced WebGL.

Transforming static interfaces into
narrative apertures.
ABOUT ME.
Creative Developer & Problem Solver
I build modern, interactive web applications that combine clean design with powerful functionality. My focus is on creating seamless digital experiences that are both visually engaging and highly efficient.
Developer Focused Approach
I enjoy working across the full stack — from crafting responsive frontends to building scalable backend systems. My projects emphasize performance, usability, and real-world problem solving.
Dynamic & Scalable Designs
From portfolio websites to full-stack systems, I design layouts that adapt smoothly across devices. I prioritize responsiveness, structured architecture, and user-friendly interfaces in every project.
Smart & AI-Driven Solutions
I actively explore AI-powered applications like smart booking systems, document processing tools, and automation bots to solve practical problems with intelligent solutions.
Performance & Optimization
I build applications that are fast, lightweight, and optimized for real-world usage — ensuring smooth performance and quick load times.
Built with purpose. Driven by innovation.
I create scalable and impactful digital solutions by blending creativity with technology. My goal is to build applications that not only look great but also deliver meaningful user experiences.
MY SKILLS.
A comprehensive collection of technologies and tools I use to build modern, scalable web applications and elegant digital experiences.
ELITE PROJECTS.
A hyper-focused showcase of high-fidelity digital solutions, where precision engineering meets innovative design.
EXPERIENCE.
[ SCROLL TO EXPLORE TIMELINE ]
Transportation Representative – QC
Supporting Amazon transportation and quality-control operations through shipment reconciliation, transshipment verification, shortage analysis, damage validation, and image verification. Identifying discrepancies across shipment and inventory data, resolving IOG/process errors, and ensuring accurate operational records according to quality standards.
- Perform shipment reconciliation and transshipment checks to identify shortages and quantity discrepancies.
- Analyze shipment data and validate shortage cases for accurate reconciliation.
- Verify DMG001 bin movements and determine whether ASINs are genuinely damaged.
- Perform image validation for damaged ASINs and approve or reject damage classifications based on evidence.
- Raise Trouble Tickets (TTs) for ASINs requiring investigation or correction.
- Identify and resolve IOG/system and process errors affecting operational accuracy.
- Maintain data accuracy and quality while following standard operating procedures.
Software Engineer Intern
Spearheaded full-stack engineering of a Smart Library Seat Management platform. Designed robust seat reservation microservices, dynamic WebSocket synchronization, and automated check-ins to optimize collegiate campus resources.
- Architected real-time WebSocket seat allocation engine handling dynamic reservations and concurrency locks.
- Implemented secure JWT authentication and role-based access control (RBAC) across student and faculty tiers.
- Engineered QR-code check-in & check-out validation system, boosting seat utilization by 25%.
- Optimized MongoDB indexing and aggregation queries, slashing seat lookup and search latency by 40%.
- Designed high-performance responsive administrative dashboard with live occupancy telemetry and analytics.
AI / Machine Learning Intensive
Completed an intensive hands-on AI/ML engineering program covering deep neural architectures, transformer models, and computer vision pipelines. Built production-oriented pipelines from raw feature engineering to deployed inference endpoints.
- Trained and evaluated deep neural network architectures using PyTorch for computer vision classification.
- Explored Transformer fundamentals and fine-tuned open-source LLMs on specialized domain datasets.
- Constructed real-time computer vision feature detection and image transformation pipelines using OpenCV.
- Designed MLOps deployment workflows with Docker containerization, REST inference endpoints, and model metrics.
- Implemented RAG (Retrieval-Augmented Generation) patterns utilizing vector embeddings and semantic search.
National Technical Hunt Champion
Clinched 1st place championship at the prestigious national-level technical symposium outperforming 200+ collegiate teams. Solved complex problem sets spanning algorithm design, cryptographic ciphers, and algorithmic puzzles under timed conditions.
- Ranked 1st place out of 200+ inter-college teams across 5 high-stakes technical elimination rounds.
- Decrypted multi-layered cryptographic challenges including RSA, AES, steganography, and custom matrix ciphers.
- Solved advanced algorithmic and dynamic programming puzzles within tight countdown limits.
- Demonstrated rapid collaborative problem-solving, algorithmic efficiency, and technical team leadership.
- Recognized with official commendation and trophy for technical excellence and computational speed.
EDUCATION.
[ Academic Foundation & Journey ]
B.E in AI & ML
Pursuing Bachelor of Engineering with focus on software development and AI.
Class 12th
Completed higher secondary education with excellent performance in Mathematics, Physics, and Chemistry.
Class 10th
Successfully completed secondary education with distinction in all subjects and academic excellence.
CERTIFICATIONS.
A selection of professional certifications and honors earned through continuous learning and technical mastery.
HackerRank Certification
Validated proficiency in complex algorithmic problem solving and advanced data structure implementations through rigorous technical assessments.
Great Learning Data Science
Mastered fundamental data science methodologies including predictive modeling, statistical analysis, and machine learning pipeline development.

Competitive Programming
Demonstrated competitive problem-solving skills and optimized code efficiency through participation in high-level programming challenges.

Enterprise Solutions
Successfully completed enterprise solutions training, focusing on agile methodologies and scalable software architecture principles.
Computer Science Intro
Acquired a solid foundation in computer science theory and practical application using Python, backed by academic excellence.
HackerRank Certification
Validated proficiency in complex algorithmic problem solving and advanced data structure implementations through rigorous technical assessments.
Great Learning Data Science
Mastered fundamental data science methodologies including predictive modeling, statistical analysis, and machine learning pipeline development.

Competitive Programming
Demonstrated competitive problem-solving skills and optimized code efficiency through participation in high-level programming challenges.

Enterprise Solutions
Successfully completed enterprise solutions training, focusing on agile methodologies and scalable software architecture principles.
Computer Science Intro
Acquired a solid foundation in computer science theory and practical application using Python, backed by academic excellence.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision. Whether you have a question or just want to say hi, I'll try my best to get back to you!