01
Summary
Computer Engineering graduate with specialized expertise in machine learning, NLP, and generative AI. Currently prototyping autonomous AI Agent workflows as an AI/ML intern, with proven ability to architect and deploy end-to-end AI applications including LLM-powered RAG chatbots and recommendation engines.
Experience is backed by certifications from DeepLearning.ai and Oracle, with hands-on work in Python, LangChain, and vector databases.
ObjectiveSeeking to apply hands-on experience to develop and ship production-ready AI solutions in a full-time role.
8.05/10 CGPA
B.Tech Computer Engineering
2026
B.Tech graduating year
5 certifications
DeepLearning.ai · Oracle · NPTEL · META
02
Technical Skills
AI/ML Techniques
Machine Learning, Deep Learning, NLP, LLM, RAG, Generative AI, AI Agent, CNN, RNN, LSTM, Supervised Learning, Unsupervised Learning, Recommender Systems, Tool Calling
AI/ML Frameworks
Scikit-learn, LangChain, LangGraph, Pandas, NumPy, Matplotlib, Seaborn, FastAPI, Hugging Face
Frontend
HTML, CSS, Material UI, Tailwind CSS, Bootstrap
Databases & Tools
PostgreSQL, FAISS, Vector Databases, Semantic Search
Developer Tools
VS Code, Google Colab, GitHub
Core Concepts
Data Structures and Algorithms (DSA), Database Management Systems (DBMS), Object-Oriented Programming (OOP), Exploratory Data Analysis (EDA)
03
Experience
May 2026 — August 2026AI/ML Intern
Neuronet Systems
- Architected and prototyped AI Agent workflows using Python, and evaluated and benchmarked frameworks for building autonomous, multi-agent systems.
- Engineered foundational architectures for LLM-powered agents supporting dynamic tool calling, API integration, and complex multi-step task execution.
PythonAI AgentTool CallingLLMMulti-Agent Systems
04
Projects
June 2026Full-Stack AI Platform
PriceHunt (AI Agent)
- Built a full-stack AI-powered price comparison platform for India’s fragmented e-commerce market with FastAPI and React, aggregating real-time prices from Amazon, Flipkart, Myntra, and Ajio through a single natural language or Hinglish search query.
- Designed a 6-node LangGraph AI agent pipeline covering intent parsing, search, aggregation, filtering, formatting, and error handling, powered by Google Gemini 2.5 Flash for query understanding and intent extraction.
- Implemented a smart product-grouping algorithm that identifies identical products across platforms and surfaces the lowest price with direct redirect links, backed by SerpApi Google Shopping for real-time data.
LangGraphGemini 2.5 FlashFastAPIReactSerpApi
February 2026Retrieval-Augmented Generation
Chat with PDF Chatbot
- Built a full-stack RAG application with Python and Streamlit enabling PDF ingestion and context-aware information extraction through a conversational, real-time streaming interface.
- Engineered a document pipeline with LangChain and HuggingFace embeddings (all-MiniLM-L6-v2) using a FAISS vector database for accurate semantic retrieval.
- Integrated Llama-3 (70B) via the Groq API with conversational memory and strict system prompts to prevent hallucinations, ensuring factually grounded, context-aware responses.
LangChainFAISSHugging FaceLlama-3 70BStreamlit
October 2025Machine Learning
Movie Recommendation System
- Built a machine learning web application with Python and Streamlit that generates personalized movie recommendations through an interactive user interface.
- Implemented a content-based filtering pipeline using Scikit-Learn that vectorizes movie metadata and computes Cosine Similarity matrices to identify and rank related films.
- Processed movie datasets with NLP text-preprocessing that consolidates genres, cast, and plot summaries into unified feature tags.
Scikit-LearnCosine SimilarityNLPStreamlit
05
Education
2022 — 2026B.Tech
Leelaben Dashrathbhai Ramdas Patel Institute of Technology and Research
Gandhinagar, Gujarat- B.Tech in Computer Engineering — CGPA 8.05/10
06
Certifications
Machine Learning Professionaldeeplearning.ai × Stanford University Online (Coursera)
Oracle Cloud Infrastructure Generative AI Certified ProfessionalOracle
Python for Data ScienceIIT Madras (NPTEL)
Introduction to Front-EndMETA (Coursera)
HTML & CSS in depthMETA (Coursera)
Nishil Modi
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