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Schedule Interview NowMy name is Pradip N. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: pandas, Python, Machine Learning Model, Deep Learning, Natural Language Processing, etc.. I hold a degree in Master of Technology (MTech), Bachelor of Technology (BTech). Some of the notable projects I've worked on include: Building Multi-Agent Systems with OpenAI, Natural Language to SQL (NL2SQL) Chatbot with LangChain, FastAPI, Production-Ready RAG Chatbot Using LangChain, GPT-3: Extract Product Features (Aspects) and feature sentiment, Custom Named Entity Recognition (NER), etc.. I am based in Mumbai, India. I've successfully completed 6 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
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Oracle
Developed a scalable multi-agent system leveraging OpenAI's GPT models to enable autonomous interactions between AI agents for complex workflows. The project was designed to automate decision-making p
Designed and implemented an AI-powered chatbot that translates natural language queries into SQL, enabling seamless database interaction without requiring SQL expertise. The solution is built using La
Developed a production-ready Retrieval-Augmented Generation (RAG) chatbot capable of answering questions based on user-provided documents. The chatbot was built using LangChain for enhanced document r
Using Open AI GPT-3 for extracting product aspects and opinions. Skills: GPT-3 GPT-3 Prompt design Streamlit
Custom Named Entity Recognition (NER) and Sentiment Analysis for product reviews. Built with Spacy and Streamlit and Hugging Face Transformers. Extracting Brand, Product, Features, and Specifications
Master of Technology (MTech) in
2016-01-01-2018-01-01
Bachelor of Technology (BTech) in
2009-01-01-2013-01-01