
Kola Nikhil Jai
Software Engineer specializing in AI Systems, Cloud Architecture and building Next-gen Web Platforms.
Professional Experience
My journey in software engineering, from internships to specialized systems development.
CDPL | SWE Intern
- Led development and production deployment of a scalable web platform on AWS, supporting 1K+ users and improving system performance by 35% through optimized services.
- Architected and maintained cloud infrastructure (AWS EC2, S3, autoscaling), achieving 99.9% uptime and enabling seamless handling of 2× traffic spikes.
- Contributed to building a defence-oriented drone simulation system, developing a VR-based immersive training environment integrated with controller inputs.
- Engineered real-time control and physics interaction modules for the drone simulator, improving simulation accuracy and responsiveness by 40%.
- Designed interactive kiosk systems for user engagement, optimizing UI/UX workflows and improving interaction efficiency by 30%.
- Automated CI/CD pipelines and deployment processes, reducing release cycle time by 50% and improving overall reliability by 25%.
Featured Projects
A collection of systems I've built, focusing on AI, Cloud, and high-performance applications.
- Intelligent routing system that directs queries to optimal AI models (8B/70B/120B) based on complexity, optimizing cost and performance with 40-60% cache hit rate.
- Built 3-tier classification engine scoring queries by complexity indicators, achieving <20ms response time for cached queries.
- Architected dual-provider setup (Groq + Together AI) with automatic failover, processing 560 tokens/sec with 99.9% uptime.
- Implemented async FastAPI backend with Redis caching and Kafka event streaming for real-time analytics and monitoring.
- Production-ready system with Docker Compose deployment, health checks, graceful degradation, and comprehensive error handling.
- A social platform where users can share ideas, connect with others, and exchange valuable insights.
- Built with a focus on real-time interaction and user connectivity.
- Designed for high engagement and seamless content sharing.
Respiratory Sound Diagnostic Engine
- Built DSP pipeline with Librosa converting raw audio to MFCC-based spectral features (6K+ dimensions).
- Designed multi-layer CNN achieving accurate classification across 8 respiratory disease classes.
- Optimized for medical diagnostic accuracy and speed.
- An intelligent voice-enabled AI assistant that can understand and respond to user queries naturally.
- Leverages Web Speech API for real-time speech-to-text and text-to-speech.
Moodly: Emotion-Aware Music Recommender
- Emotion engine with DeepFace + OpenCV for real-time mood detection from webcam input.
- Integrated YouTube Data API for real-time mood-aligned music retrieval.
- Full-stack architecture with Flask backend and React frontend.
Core Expertise
Technical arsenal and frameworks I use to bring ideas to life.
Specialized Knowledge
My Journey
Education & Learning
Pursuing IT degree while building real-world projects. Academic foundation combined with hands-on experience in modern software development.
Technology Stack
Toolkit spans across HTML5, CSS3, JavaScript, React, Java, C, and various modern databases.
Future Vision
Driven by the challenge of turning innovative ideas into functional, user-centric applications, focusing on high-impact projects.
Education & Recognition
Education
Vignan Institute Of Technology & Science
July 2024 - Present
Bachelor of Technology in Information Technology
Hyderabad, Telangana