Student Developer & Technology Enthusiast
Pune, Maharashtra
Science student at Kalyani School combining academic excellence with practical technology development. Experienced in full-stack development, AI integration, and specialized applications in aviation and education.
About Me
I'm a science student at Kalyani School in Pune with a focus on technology and innovation. My work spans multiple domains including full-stack web development, AI integration, aviation technology, and educational tools.
I combine academic rigor with practical development skills, having built complex systems ranging from AI-powered chemistry applications to aviation weather stations. My interests extend beyond coding to include aviation (pursuing glider pilot license) and academic research.
Currently seeking opportunities to apply my technical skills in meaningful projects while continuing my education and expanding my expertise in emerging technologies.
Education
Science Student
Kalyani School, Pune
Location
Pune, Maharashtra
India
Focus Areas
Full-Stack Development
AI Integration
Aviation Technology
Technical Skills
Programming Languages
- Python
- JavaScript
- HTML/CSS
- SQL
- Shell
- LaTeX
Technologies & Frameworks
- AI/API Integration (Claude, OpenAI)
- REST API Design & Integration
- Web Development (Full-Stack)
- ESP32 Technology
- Data Analysis
- Database Design
Specialized Knowledge
- Platform Architecture & Design
- Product Strategy & Growth Analysis
- System Performance Optimization
- Aviation Technology
- Educational Technology
- Scientific Applications
Featured Projects
Strategic Expansion Feasibility Study
Business feasibility analysis for GLK Petrochemicals evaluating 9 product lines across India, Gulf, and Southeast Asia. Created Excel financial models with revenue projections, gross margin analysis (18-30%), CAPEX calculations, and payback assessments (1-37 years). Developed strategic scoring framework evaluating demand, infrastructure, licensing, margins, and strategic fit. Delivered 16-slide presentation with data visualization, comprehensive financial model, and Go/Wait/No-Go recommendations for 4 viable expansion opportunities.
AI-Powered Periodic Table
Interactive chemistry application featuring all 118 elements with atomic properties, electron configurations, and physical characteristics. Integrated with Claude AI for compound analysis, equation balancing, and reaction predictions. Clean responsive interface with search functionality, category filtering, and real-time data visualization. Built with vanilla JavaScript and modern CSS, demonstrating DOM manipulation, API integration, and educational technology design.
Greek Civilization Interactive Kiosk
Museum kiosk featuring real-time conversational AI powered by Groq Llama 3.3 70B with synchronized image display of 86 Greek artifacts across 24 categories. Built with 5-microservice architecture (~44,000 lines): Orchestrator, TTS, LLM, ImageScreener, LiveKit. Features WebRTC communication, Deepgram text-to-speech, browser speech recognition, operator control panel, WebSocket payment confirmation, session timers, and millisecond-precision image sync using performance.now() with intelligent preloading and crossfade transitions.
Mac Memory Toolkit
Memory management and system optimization toolkit for macOS. Shell utilities for monitoring, cleanup, and performance optimization on low-RAM systems (4-8GB). Built with Bash scripting and system-level APIs (vm_stat, sysctl) with automated LaunchAgent installation. Features real-time monitoring, intelligent cache cleanup (200-500MB freed), and Chrome process management for improved system responsiveness.
AI CV System
Full-stack platform transforming CVs into professional portfolio websites using AI. Features drag-and-drop builder, AI-powered HTML generation, and complete authentication system. Built with Node.js/Express backend, PostgreSQL database, React builder (Puck framework), and Claude AI for CV parsing and HTML generation. Implements JWT authentication, version control for designs, and comprehensive RESTful API documentation.
ATIS METAR Weather Station
Advanced aviation weather monitoring system built with Raspberry Pi, ESP32, and gesture control. Features real-time METAR data retrieval, ATIS audio feeds, flight tracking integration, and Microsoft Flight Simulator-inspired user interface. Implements computer vision for touchless gesture control, automated weather data parsing, customizable airport monitoring, and visual display of weather conditions, wind patterns, and visibility information for aviation planning and decision-making.
Aviation Route Planning
Comprehensive feasibility study for Pune-Mumbai air shuttle service examining technical, regulatory, and economic viability. Conducted route optimization using navigation charts and airspace data, analyzing flight paths with terrain, weather, and ATC considerations. Developed economic models including cost-benefit analysis, break-even calculations, fuel estimates, and demand forecasting. Researched DGCA regulatory compliance, licensing, safety protocols, and operational procedures with detailed flight planning and risk assessment frameworks.
Music Recommendation Research
Academic research paper exploring enhancement of music recommendation systems through regional tune recognition algorithms, combining machine learning with cultural music analysis. Investigates integration of regional musical patterns and cultural context into existing recommendation frameworks to improve personalization and cultural relevance. Published research examining algorithmic approaches to identifying and categorizing regional musical characteristics.
NASA Wallpaper Automation
Automated macOS wallpaper management system featuring two Python scripts fetching space imagery from NASA APIs. APOD script accesses Astronomy Picture of the Day archive (since 1995), Gallery script searches NASA's image library for rocket launches, planetary images, nebulae, and astronomical phenomena. Features intelligent history tracking avoiding duplicates, automatic high-resolution downloads, seamless AppleScript wallpaper setting, JSON-based history management (100-200 images), and cron/launchd automation support.
AI Memory System
Intelligent conversation memory system with semantic search capabilities for AI applications. Implements embedding-based memory storage using ChromaDB vector database for semantic similarity search, conversation context management with automatic summarization, and efficient retrieval of relevant past interactions. Features Python-based architecture with support for multiple embedding models, configurable memory retention policies, and REST API for easy integration into chatbot and AI assistant applications.
Other Interests & Hobbies
Aviation
Pursuing glider pilot license and studying aviation technology, flight planning, and aircraft systems.
Photography
Amateur photographer with interest in landscape, aviation, and technical photography.
Gaming
Flight simulation enthusiast (Microsoft Flight Simulator 2020), racing games (Assetto Corsa), and GTA series.
Reading
Avid reader of fiction, technical literature, and academic papers related to technology and science.
Academic Research
Involved in various research projects combining technology with academic subjects like chemistry and economics.
Acting & Playwriting
Creative pursuits in theatrical performance and script writing, exploring storytelling through dramatic arts.
Contact Information
- Email: lallanitin66@gmail.com
- Phone: +91 9529067642
- Location: Pune, Maharashtra, India
- LinkedIn: linkedin.com/in/omkar-nitin-lalla
- GitHub: github.com/omkarlalla-code