I specialize in building intelligent systems using Artificial Intelligence and Machine Learning. With a strong foundation in Python and experience working with tools like TensorFlow, Keras, Scikit-learn, and FastAPI, I create data-driven solutions that solve real-world problems. From developing LLM-based multi-agent systems to designing responsive front-end interfaces with HTML/CSS, I enjoy working across the full tech stack. I also have hands-on experience with Generative AI, Prompt Engineering, and deploying models via APIs. My work blends AI research, software development, and clean design to deliver smart, scalable solutions. Always eager to learn and build something impactful.
Download CVPython, Java, C, SQL, HTML, CSS
NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Flask, FastAPI
Supervised & Unsupervised Learning, Feature Engineering, Model Training, Evaluation, EDA
Neural Networks, CNNs, RNNs, NLP, Transformers, LLMs
Linear Algebra, Probability, Statistics, Calculus
OOP, DSA, FastAPI, Git, End-to-End Deployment
HTML, CSS, JavaScript, React, TailwindCSS
FastAPI, Flask, Node.js
MongoDB, MySQL, PostgreSQL, Firebase, Redis
Worked on LLM-based backend systems, API design, and AI integration workflows.
Built and deployed scalable services using FastAPI, OpenAI APIs, and AWS cloud infrastructure.
Contributed to the development of an LLM-Orchestrated Multi-Agent System for task automation.
Reduced cloud infrastructure costs by 40% through optimization of EC2, S3, and API workloads.
Clarification Agent (LLM) ā Designed an agent that dynamically gathers user intent via interactive follow-ups and outputs structured YAML briefs.
Prompt Enrichment Module ā Implemented RAG-based few-shot enrichment using ChromaDB and GPT-4o for context-aware agent prompting.
Meta-Orchestrator ā Developed a modular system to define agent roles, system prompts, and run DAG-based execution logic using NetworkX and LangGraph.
Contributed to React & Node.js apps with improved UX and performance.
Completed hands-on training on full-stack web development with integration of AI modules.
Covered technologies like Java, JavaScript (ES6+), React.js, Node.js, and REST APIs.
AI Chatbot UI ā Developed frontend using React.js and integrated with OpenAI APIs for AI-powered responses.
Java-Based E-learning Portal ā Built a basic LMS platform with user registration, course management, and admin dashboard using JSP & Servlets.
Task Manager App ā Used Node.js and Express for backend APIs with MongoDB for storage.
Completed 80+ hours of training covering JavaScript (ES6+), Node.js, Express.js, MongoDB, authentication
with JWT, and REST API development.
Attendance Management System ā JavaScript fundamentals & file handling
To-Do App ā CRUD operations with Node.js & MongoDB
E-commerce Backend ā Product, Cart, Orders, Reviews APIs with JWT auth
A machine learning model that predicts house prices in Boston...
A machine learning model that detects and classifies rocks and mines...
Keshav.
Export tempor illum tamen malis malis eram quae irure esse labore quem cillum quid malis quorum velit fore eram velit sunt aliqua noster fugiat irure amet legam anim culpa.
Shiwam is a responsible and well-disciplined student who positively impacts the college environment.
During his internship at NimusNext AI Pvt. Ltd., [Your Name] demonstrated a solid grasp of generative AI concepts and showed great initiative in learning and applying new technologies. His curiosity, work ethic, and ability to collaborate effectively with the team stood out. It was a pleasure mentoring him and seeing his growth throughout the internship."
Shiwam is the best when it comes to HTML, CSS, and Web Development. I have seen his work firsthand, and he consistently delivers excellent results.
Shiwam has excellent behavior in college and maintains a respectful and positive relationship with the faculty and staff.
If you have a project in mind, a job opportunity, or just want to say hello, Iād love to hear from you! Feel free to reach out ā Iām always open to new opportunities and conversations.
