---
title: "Deepak Raj - Software Developer in Chennai | Tal"
description: "Meet Deepak Raj, software developer based in Chennai."
image: "https://tal.club/meet/deepak-raj-1/share-image"
---

# Deepak Raj on Tal

## Headline

software developer

## About

Software Developer transitioning into AI Engineering, with a strong focus on Retrieval\-Augmented Generation \(RAG\) and Generative AI\. Proficient in building end\-to\-end AI pipelines using Python, LLMs, vector databases \(FAISS\), hybrid search \(BM25 \+ semantic retrieval\), and OCR\-based document processing\. Experienced in NLP, prompt engineering, and LangChain\-based workflows\. Backed by solid full\-stack development skills in Django, Angular, and REST APIs\. Passionate about building scalable, production\-ready intelligent systems that solve real\-world problems\.

## Location

Chennai

## Work experience

Software Developer at CannyMinds Technology Solutions, May 2021 \- Present · 5 yrs 2 mos, Chennai, Tamil Nadu, India, Designed and implemented end\-to\-end architecture using Angular for front\-end development and Django for back\-end, ensuring seamless integration, scalability, and robust performance across the application\. • Developed user interfaces that significantly improved client engagement, satisfaction, and overall user experience\. • Built and optimized RESTful APIs using Django, enhancing application performance and scalability while ensuring smooth data flow between front\-end and back\-end systems\.\. • Customized software solutions to meet specific client requirements, ensuring high levels of client satisfaction and tailored functionality\. • Maintained and supported software by identifying and resolving technical issues, ensuring continuous operation and minimizing downtime for end\-users\.

Data Science Intern at Heptatrack Iot Innovative, Feb 2025 \- May 2025 · 4 mos, Remote, • Explored, analyzed, and visualized demand data to uncover key factors influencing rental patterns, supporting data\-driven operational strategies • Preprocessed data by handling missing values, removing duplicates, and addressing outliers to ensure high data quality and reliability for predictive modeling\. • Engineered features from variables such as weather conditions, time of day, and special events to enhance model performance and capture real\-world usage behavior\. • Partitioned the dataset into training and testing sets to accurately evaluate machine learning models and ensure robust generalization to unseen data\.\. • Developed, trained, and validated predictive models to forecast data demand, enabling optimized fleet management and improved customer satisfaction\. • Performed hyperparameter tuning and model optimization to maximize predictive accuracy, minimize overfitting, and ensure stable model performance across different data scenario

## Education

Bachelor of Technology \- BTech, Computer Science, Vels University

[View the original profile](https://tal.club/meet/deepak-raj-1)

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