Headline

AI & ML Engineer | GenAI • RAG • LLMs • Computer Vision | Building Intelligent Systems That Drive Real-World Impact

About

I didn't just study AI — I started building with it. From my first Python script to deploying end-to-end Generative AI pipelines, my journey in Computer Science (AI & Data Science) at PIET has been defined by one goal: turn complex data into meaningful decisions. During my internship at REGex Software Services, I designed ML, Deep Learning, and GenAI solutions that improved operational efficiency by 35% and boosted model accuracy by 20% through LLM fine-tuning and prompt engineering. Before that, at Zeetron Networks, I automated backend workflows that cut manual effort by 40% — proof that clean code and smart systems change how teams operate. Outside internships, I've built things I'm proud of: • A GenAI PDF Assistant powered by RAG and LangChain that lets users query documents in natural language • FractoScan — a CNN-based X-ray analyzer achieving 92% accuracy in fracture detection • A real-time Driver Drowsiness Detection system using computer vision and facial landmark analysis I'm an IEEE-published researcher, a national-level project exhibition runner-up (UDBHAV 2025), and a Google Cloud certified analyst. My stack spans Python, TensorFlow, PyTorch, LangChain, SQL, FastAPI, Docker, and AWS. I'm actively seeking roles in AI Engineering, Machine Learning, or Data Analytics where I can keep building systems that matter. 📩 Let's connect: lakshvyas462006@gmail.com

Location

Greater Jaipur Area

AI stack

antigravity

claude code

cursor

github copilot

n8n

huggingface

Work experience

Generative AI Engineer at REGex Software Services, Jun 2025 - Aug 2025 · 3 mos, Jaipur, Rajasthan, India, Architected end-to-end ML, Deep Learning, and Generative AI pipelines that automated high-frequency workflows, delivering a 35% uplift in operational efficiency across business units. Fine-tuned large language models (LLMs) and engineered production-grade prompts, driving a 20% increase in model output accuracy and reducing hallucination rates. Optimized inference pipelines and integrated RAG-based retrieval systems, cutting response latency and improving answer relevance for internal tools. Collaborated cross-functionally with product and operations teams to translate business requirements into scalable AI solutions using LangChain and OpenAI API.

Back End Developer at Zeetron Networks Pvt. Ltd. India, Jul 2024 - Aug 2024 · 2 mos, Jaipur, Rajasthan, India, Engineered Python and SQL automation scripts that eliminated repetitive backend processes, reducing manual effort by 40% and freeing engineering capacity. Designed and shipped RESTful APIs using Flask for internal data processing pipelines, improving data throughput and system reliability. Diagnosed and resolved critical backend bottlenecks through systematic testing and performance profiling, ensuring production-grade stability.

Education

B. Tech, Artificial Intelligence and data science, Poornima Institute of Engineering & Technology