---
title: "Tarun Tej Gajibimkar - Programmar Analyst - GenC Next Intern in Hyderabad | Tal"
description: "Meet Tarun Tej Gajibimkar, Programmer Analyst @Cognizant || Ex-Associate Software Engineer @Winfully Il Al & Backend Engineer || Expertise in AI, Data Science, Full Stack Developer & AI Automations || Ex-Finance & Data Analyst Intern based in Hyderabad. AI stack includes claude, gemini, and hugging..."
image: "https://tal.club/meet/tarun-tej-gajibimkar/share-image"
---

# Tarun Tej Gajibimkar on Tal

## Headline

Programmer Analyst @Cognizant \|\| Ex\-Associate Software Engineer @Winfully Il Al & Backend Engineer \|\| Expertise in AI, Data Science, Full Stack Developer & AI Automations \|\| Ex\-Finance & Data Analyst Intern

## About

Hello, I am Tarun Tej Gajibimkar, an AI & Machine Learning Developer and Software Engineer with strong expertise in AI automation, backend development and data\-driven systems\. I enjoy building scalable, intelligent solutions that bridge the gap between data, automation and real\-world business impact\. I have hands\-on experience working with Python, Java, SQL and modern backend frameworks to design and deploy REST APIs, microservices and automation pipelines\. My work spans across AI/ML model development, ETL pipelines, data analytics and cloud\-based deployments, enabling efficient and reliable systems\. Through my internships and projects, I have: 1\.Built AI\-powered applications including NLP\-based fake news detection and AI resume parsing systems 2\.Developed and automated ETL pipelines and dashboards to drive data\-driven decision\-making 3\.Designed backend and distributed systems using Python, Django, Flask, Java, Spring Boot, Docker, and SQL 4\.Deployed machine learning models with a focus on performance, scalability, and automation I possess a strong foundation in Data Structures & Algorithms, Object\-Oriented Programming, DBMS, SQL, and Operating Systems, Gen AI, RAG, Langchain, AI Agents & Automation along with practical exposure to cloud platforms \(AWS\), CI/CD and containerization\. Looking forward to contribute in building impactful products with a strong passion of continuous learning and growing\.

## Location

Hyderabad

## AI stack

claude

gemini

hugging face

n8n

notion

## Work experience

Programmar Analyst \- GenC Next Intern at Cognizant, Apr 2026 \- Aug 2026 · 5 mos, Chennai

Associate Software Engineer at WinFully on Technologies, Jan 2026 \- Apr 2026 · 4 mos, Hyderabad, • Designed and developed scalable backend services using Python and FastAPI for client applications\. • Built and integrated RESTful APIs, managing authentication and data processing\. • Architected workflow automation systems to optimize business operations and reduce manual effort\. • Developed AI\-powered solutions, including chatbots and intelligent automation pipelines for real\-world use cases\.

Finance Analyst Intern at mompharmacy, Aug 2025 \- Dec 2025 · 5 mos, Hyderabad, • Conducted in\-depth financial and sales data modeling to derive actionable insights on revenue performance\. • Researched competitors and market trends to benchmark the company's position and identify growth opportunities\. • Collaborated with cross\-functional teams to enhance reporting processes and improve data accuracy\.

Frontend Developer Intern at Edunet Foundation, Aug 2025 \- Sep 2025 · 2 mos, Solidified a strong, conceptual understanding of core frontend technologies, including semantic HTML, CSS and JavaScript\. Designed and implemented a complete Food Recipe Web Application\. It is mobile\-friendly design and displays all the food receipes & Indian desserts\. Successfully delivered & hosted a fully functional, interactive and complete front\-end solution using GitHub Pages\.

AI & ML Intern at Edunet Foundation, Jun 2025 \- Jul 2025 · 2 mos, Gained & learnt foundational Artificial Inteligence and Machine Learning concepts\. The experience involved executing the full ML lifecycle, from extensive data cleaning and EDA to model training and performance evaluation\. Developed & deployed Fake News Detection System to detect if a news or text is true or not\.Worked with LSTM\(Long Short\-Term Memory\)model and performed feature engineering\. This hybrid deep learning approach resulted high accuracy of 92%\.

Artificial Intelligence Intern at VISWAM\.AI, Mar 2025 \- Jun 2025 · 4 mos, Hyderabad, Built and deployed an Al chatbot using Hugging Face and Streamlit, integrating \(RAG\) with FAISS vector search to improve response accuracy and real\-time user interaction\. Collected and curated domain\-specific datasets using the Swecha Corpus App and explored LLM fine\-tuning workflows \(including SQL task adaptation\), gaining hands\-on experience in dataset preparation, supervised training, and instruction tuning\. Implemented local inference pipelines for LLMs like LLaMA and Mistral using Ollama and PocketPal, developing practical skills in low\-latency offline deployment, prompt engineering, tokenization and deep learning optimization techniques\.

## Education

Minor Degree, Data Science, Vardhaman College of Engineering \(VCEH\)

Bachelor of Technology, Electronics and Communication Engineering, Vardhaman College of Engineering \(VCEH\)

## Public links

- github: https://github\.com/tarun7explorer
- tarun\-tej\-gajibimkar\-portfolio\.netlify\.app: https://tarun\-tej\-gajibimkar\-portfolio\.netlify\.app/

[View the original profile](https://tal.club/meet/tarun-tej-gajibimkar)

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