AI Engineer & Full-Stack Developer
I blend code with cognition — building smart apps using Generative AI, Machine Learning, Data Science, and Full Stack Development.
Building the Future with AI
Hey there! I'm Saurav Kumar Srivastava, an AI engineer conjuring brilliance with Python, machine learning, and generative AI! 🧑💻 I craft smart solutions like legal chatbots and automated codebases, while also dabbling in full-stack dev to create sleek web apps. When I’m not coding, I’m exploring new tools or dreaming up my next big idea! ⭐
I’m passionate about making a difference—whether it’s cutting costs 💰 with optimized AI or automating tasks to save hours! My computer science path has sharpened my problem-solving skills and fueled my love for creative collaboration. 😄 I tackle challenges with enthusiasm and a can-do spirit!
Beyond tech, I’m a quick learner who thrives in team projects and juggles priorities like a pro. Stick around to explore my projects and skills—it’s a thrilling ride through tech innovation! 🎢
Building intelligent systems with cutting-edge AI technologies
Building production-ready AI systems with proven impact
Complex issue resolution & analysis
Leading & mentoring dev teams
Strategic decision making
Technical & stakeholder alignment
Showcasing innovative solutions and technical excellence
With over 2000+ organic downloads on PyPI, CodeFabric is an AI-powered Python package that automates codebase generation with 85% accuracy, covering 95% of the development lifecycle — all via a user-friendly CLI.
JusticeAI: India's first AI-powered legal advisor, built on authentic Indian law books and data, leveraging RAG for accurate, context-aware legal guidance.
A fine-tuned 1B parameter model trained on 10M+ tokens of psychologist conversational data for empathetic, contextually relevant mental health support. It comes with ollama compaitable GGUF format for easy access on any device with CPU.
Built an AI-powered platform to document legacy applications (COBOL, RPG) and accelerate modernization into modern architectures, reducing planning and documentation time by up to 90%.
Deployed and integrated LLaMA 3 and LLaMA 4 models using Ollama and vLLM for scalable inference. Enhanced performance and reduced latency with advanced KV caching.
Designed a hybrid ML-AI system for predicting job titles and salaries using EDA, feature engineering, Random Forest, and RAG-based generative models on 1.5M+ records, achieving up to 95% accuracy.
Let's discuss your next project or collaboration opportunity
I'm always interested in hearing about new opportunities, creative projects, or just having a conversation about technology and innovation. Don't hesitate to reach out!
Location
Noida, UttarPradesh