My Experience
Visteon
Embedded Systems Developer
Jan 2025 - Present
- Optimized real-time automobile dashboard systems reducing processing latency by 25% through C programming improvements
- Developed fault-tolerant microcontroller code with comprehensive error handling for critical automotive components
- Created diagnostic routines detecting system anomalies with 95% accuracy, improving vehicle system reliability
UpWork
Freelance Developer
Nov 2024 - Jan 2025
- Built an enterprise-level RAG system for legal applications with 92% accuracy, incorporating vector databases and fine-tuned LLMs
- Developed embedded solutions for audio processing on STM32/ESP32 platforms, achieving 10% improved memory efficiency
- Delivered 5+ successful projects with 100% client satisfaction rating and 4.9/5 average feedback score
Procter & Gamble
IoT Developer and Automation Intern
Dec 2024 - Jan 2025
- Implemented IIoT monitoring system across 2 production lines, collecting 200K+ data points daily with 99.8% uptime
- Developed automated quality control processes reducing manual inspection time by 15% and improving defect detection by 5%
- Integrated sensor data with using custom middleware, enabling real-time production analytics
TYNATECH INGENIOUS PVT LTD
IoT and LoRaWAN Developer
May 2024 - Jun 2024
- Engineered RESTful APIs and webhooks enabling seamless integration between 10+ LoRaWAN devices and cloud platforms
- Optimized UART-LoRaWAN interface increasing throughput by 10% with efficient buffer management techniques
- Implemented MQTT protocol for real-time visualization of gateway data, processing 20+ messages/second
Intellect Design Arena Ltd
Software Intern
Sept 2024 - Dec 2024
- Developed PHP-based financial services websites using WordPress, achieving 10% faster page load times
- Managed AWS infrastructure for 2+ web applications, configuring auto-scaling and optimizing for 99.9% availability
- Created data analytics dashboards providing real-time user engagement metrics and conversion insights
Hindustan Aeronautics Limited
R&D Intern
July 2024 - Aug 2024
- Optimized autopilot system algorithms reducing computational overhead by 8% while maintaining safety requirements
- Developed C++ testing application for control systems simulation, validating over 40 test scenarios
My Projects
Fine-Tuning LLaMA 3.1 8B for Code Reasoning
Technologies: LLaMA 3.1 8B, Gemma3, Reinforcement Learning (GRPO), Python, Hugging Face, DigitalOcean
Apr 2025
- Fine-tuned LLaMA 3.1 8B model using GRPO reinforcement learning techniques for enhanced code reasoning capabilities.
- Employed Gemma3 as the reward model, effectively guiding the fine-tuning process towards desired outcomes.
- Achieved results exceeding expectations, with the fine-tuned model and training dataset released publicly.
Multipurpose VR Gloves with Gesture Recognition
Technologies: Unity, C#, Python, ESP32, Flex Sensors, IMU
Sept 2024
- Engineered VR gloves capturing 15+ distinct gestures with 92% accuracy using calibrated flex sensors and machine learning
- Developed custom web interface allowing non-technical users to map gestures to 20+ different system commands
- Implemented low-latency (<20ms) wireless communication between gloves and host system
Instagram Automation Bot
Technologies: Python, Meta Graph API, FastAPI, Redis, GPT models, AWS
Dec 2024
- Created cloud-deployed Instagram bot handling 1000+ interactions daily with 99.5% uptime
- Implemented sentiment analysis using fine-tuned LLMs achieving 88% accuracy in message intent classification
- Designed Redis-based caching layer reducing API calls by 65% and improving response times to under 500ms
Smart Rhesus Macaque Deterrent System
Technologies: Raspberry Pi, Jetson Nano, PyTorch, Computer Vision, Ultrasonic Emitters
Mar 2024
- Developed edge-deployed computer vision system identifying macaques with 94% accuracy in varied lighting conditions
- Created deterrent system using directional ultrasonic emitters, reducing campus intrusions by 90%
- Implemented power management reducing system energy consumption by 35% for solar-powered deployment
Wearable Jump Height Measurement Device
Technologies: ESP32, MPU6050, Flask, SQLite
Mar 2024
- Built ankle-mounted measurement system achieving ±1cm accuracy compared to professional lab equipment
- Implemented Kalman filtering algorithm reducing sensor noise by 80% for high-precision vertical displacement calculation
- Created analytics dashboard visualizing performance trends across 6+ metrics for optimizing training programs
Tech Skills
My Technical Skills & Experience
I possess a comprehensive skill set in software development, including hands-on experience with the following technologies and methodologies:
- Programming Languages: C, Cpp, Python, JavaScript
- Web Technologies: Axum, FastAPI, React, Node.js
- Databases: MySQL, Postgres
- Tools & Platforms: Git, Docker, AWS
About Me
Who am I?
I am a passionate Software Engineer with expertise in full-stack development. I have a strong foundation in computer science and practical experience in building scalable applications. My technical skills include proficiency in multiple programming languages, frameworks, and tools. I am dedicated to creating efficient, maintainable, and user-friendly solutions while staying current with the latest industry trends and best practices.
Download ResumeContact Me
Get in Touch
I'm always open to discussing new projects, creative ideas or opportunities to be part of your visions.
Name
Karneeshkar V
Email
karneeshkar01@gmail.com