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Schedule Interview NowMy name is Narayan J. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: JavaScript, Python, Data Science Consultation, Python Script, Data Science, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: Energy Knowledge Miner and advisor, Full Stack RAG Solution development for PDFs, PPTs and Excel data., Mission Plan generation for the power grid Robotic system, Electricity Demand Forecasting for Energy Trading Optimization, Personal Portfolio development for various clients, etc.. I am based in Bengaluru, India. I've successfully completed 7 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
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Fractal Analytics
Crafted intelligent AI solution helping top German energy company employees query over their knowledge base. A complete RAG chatbot solution for the employees over their company databases.
Data Extraction and Embedding: Utilized Azure Document Intelligence and OpenAI Ada embeddings to process PDFs, PPTs, and Excel, achieving a 15% BLEU Score improvement through HNSW indexing on Azure AI Search. Search Optimization: Built a FastAPI backend with Hybrid Search and Semantic Re-ranking, boosting Semantic Similarity by 10%, and deployed via Azure App Services. Automation & UX Enhancements: Automated SharePoint document indexing with Azure Logic Apps and developed pipelines for document citation and highlighting to improve user experience. Developed the MSFT Bot framework middleware.
Designed and implemented a data extraction pipeline, mapping inspection data into a centralized Cosmos DB, with an automated ingestion system for efficient storage and retrieval. Built GPT-4 Turbo-based agents for contextual data extraction and follow-up, achieving a 98% success rate. Developed an optimization algorithm for inspection sequencing, reducing displacement coverage by 25%. Engineered a Mission Plan Generation Engine that created structured JSON files with optimized sequences, ensuring 100% compliance with robotic operational requirements.
• Exploratory Data Analysis was conducted to understand data distribution, trends and any hidden pattern for electricity load detection. • Modeled Multiple machine learning models (Xgboost, Catboost, LightGBM) and logged each one using an MLflow experiment. Conducted a comparative analysis to select the most suitable model, optimizing forecasting accuracy and registering it in the MLflow Registry. • Achieved an overall R² score of 75.2% for the modeling phase, providing confidence in the predictive capabilities of the model.
Created beautiful full stack web development solution for various clients ranging from web developers to graphic designers.
Bachelor's degree in
2017-01-01-2022-01-01