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/