{
  "developer": "Pushkar Reddy S",
  "education": "B.E. in Information Science and Engineering @ BMSIT, Bengaluru (Expected 2027)",
  "target_roles": ["Full-Stack Developer Intern", "AI / Backend Developer Intern", "Software Engineering Intern"],
  "core_stack": ["JavaScript (ES6+)", "Python", "Java", "Node.js", "Express", "React", "Flask", "MySQL", "Docker", "WebSockets"],
  "engineering_focus": ["High-Frequency Real-Time Telemetry", "LLM Integration & RAG", "Scalable REST APIs", "Embedded IoT Systems"]
}

Domain	Technologies & Coursework
Languages
Backend & APIs
Frontend & UI
AI, ML & Cloud
Databases
DevOps & Tools
IoT & Embedded
Core CS Coursework	Data Structures & Algorithms, Design & Analysis of Algorithms, Machine Learning, Operating Systems, Database Management (DBMS), Computer Networks, Object-Oriented Programming (OOP), Software Engineering & Project Management, Theory of Computation

Stack: React 18 • Node.js • Express • WebSockets • HTML5 Canvas (60 FPS) • Docker • Render

• Built an event-driven race replay engine broadcasting synchronized 50ms telemetry snapshots over WebSockets for 20 cars across all 24 Grand Prix rounds.
• Engineered a 60 FPS HTML5 Canvas spline renderer utilizing Catmull-Rom interpolation to dynamically animate car positions on authentic FIA sector transponders.
• Developed 15+ RESTful APIs with JWT authentication and optimized queries for sub-millisecond driver stats and pace delta analysis.
• Containerized the full-stack architecture using Docker Compose and deployed live on Render.

Stack: Python 3.11 • Flask • Groq LLaMA API • REST APIs • JSON Schema Validation

• Developed an AI-powered travel recommendation platform that generates structured, personalized multi-day itineraries.
• Integrated Groq LLaMA APIs for high-speed conversational planning, constraint extraction, and contextual cultural storytelling.
• Built scalable request-processing pipelines with strict JSON schemas and validation for deterministic API output.
• Implemented geographic point-of-interest clustering based on spatial proximity and practical transit constraints.

Stack: C++ • ESP32 SoC • HC-SR04 Ultrasonic Sensors • IR Sensor • SG90 Servo • Embedded Web Server

• Developed an IoT parking management system with real-time vehicle detection and automated barrier gate control.
• Designed sensor-driven logic using HC-SR04 ultrasonic sensors and LED indicators for live slot occupancy tracking.
• Implemented an asynchronous on-chip HTTP web server on ESP32 for real-time slot checking, reservation, and PIN entry generation.
• Automated gate actuation with SG90 servo motor and programmed exit duration-based tariff calculations.

• BMS Institute of Technology and Management, Bengaluru
  Bachelor of Engineering (B.E.) in Information Science and Engineering (Expected 2027)
  Coursework: Data Structures & Algorithms, Operating Systems, Database Management Systems, Computer Networks, Advanced Java, Software Engineering, Intro to AI & ML, Cloud Computing, IoT, Theory of Computation.

• Certifications:
  • Artificial Intelligence and Machine Learning
  • Agile and DevOps Practices
  • Programming in C