---
title: "Gandharv Kulkarni - Programming Analyst in Udgir | Tal"
description: "Meet Gandharv Kulkarni, AI/ML Engineer | Deep Learning • NLP • Computer Vision | Cognizant | Building Scalable ML Systems | Open to SDE/ML Roles based in Udgir. AI stack includes hugging face, langchain, and ollama."
image: "https://tal.club/meet/gandharv-kulkarni/share-image"
---

# Gandharv Kulkarni on Tal

## Headline

AI/ML Engineer \| Deep Learning • NLP • Computer Vision \| Cognizant \| Building Scalable ML Systems \| Open to SDE/ML Roles

## About

AI/ML Engineer with hands\-on experience in building end\-to\-end machine learning systems, from data preprocessing to deployment\. I have worked on real\-world projects involving Deep Learning, NLP, Computer Vision, and Time Series Forecasting\. During my time at Cognizant, I developed backend APIs and secure authentication systems, gaining strong foundations in scalable software engineering\. I combine this with my expertise in machine learning to build production\-ready AI systems\. I have built multiple projects including: • CNN\-based image classification \(85% accuracy\) • LSTM\-based stock prediction system • End\-to\-end NLP and recommendation systems • Full\-stack ML pipelines with visualization \(Tableau, Streamlit\) I am particularly interested in solving real\-world problems using AI and building systems that can scale in production environments\. Currently seeking opportunities in AI/ML Engineering, Data Science, or Software Engineering roles at product\-based companies\. 📌 Tech Stack: Python, PyTorch, TensorFlow, Scikit\-learn, SQL 📌 Interests: ML Systems, Deep Learning, Backend Engineering 📌 Open to: AI/ML, SDE, Data roles

## Location

Udgir

## AI stack

hugging face

langchain

ollama

openai

## Work experience

Programming Analyst at Cognizant, Nov 2025 \- Present · 8 mos, Chennai, Built and contributed to a scalable backend system for stock portfolio management, focusing on secure transactions and real\-time data handling\. Designed and implemented RESTful APIs using C\# and Entity Framework, enabling efficient portfolio operations and order processing\. Developed and integrated JWT\-based authentication and authorization mechanisms, ensuring secure user access and data protection across multiple roles\. Modeled and managed relational database schemas involving 6\+ entities to support complex business logic and data consistency\. Worked on improving system reliability, modularity, and maintainability by following clean architecture principles and structured coding practices\.

Programmer Analyst Trainee at Cognizant, Nov 2025 \- Apr 2026 · 6 mos, ● Designed role\-based stock portfolio system with Admin, Investor, Analyst access for portfolio and transactions\. ● Built 10\+ REST APIs using C\# and Entity Framework for orders, updates, and transaction history\. ● Implemented JWT authentication and optimized relational schema for secure and efficient data handling\.

Artificial Intelligence and Machine Learning Intern at Skyhighes, Jun 2024 \- Dec 2024 · 7 mos, Maharashtra, India, Worked on building end\-to\-end machine learning solutions across NLP, recommendation systems, and computer vision domains, focusing on real\-world problem\-solving and deployment\-ready pipelines\. Developed and optimized NLP\-based sentiment analysis models, including data preprocessing, feature extraction, and model evaluation to improve classification performance on real\-world text datasets\. Designed and implemented recommendation systems using collaborative filtering techniques to enhance content relevance and user personalization\. Built and experimented with deep learning models for object detection and tracking using CNN\-based architectures, applying computer vision techniques for accurate detection in dynamic scenarios\. Collaborated on complete ML workflows including data preprocessing, feature engineering, model training, evaluation, and iterative optimization using Python, Scikit\-learn, and deep learning frameworks\.

Artificial Intelligence \- Machine Learning Intern at Skyhighes, Jun 2024 \- Dec 2024 · 7 mos, ● Developed CNN model on CIFAR\-10 achieving 85\.2% accuracy using data augmentation and dropout\. ● Optimized preprocessing pipeline reducing feature engineering runtime from 18s to 7s per batch\. ● Enhanced model performance by 12% over baseline through hyperparameter tuning\.

## Education

Bachelor of Technology, Artificial Intelligence, G\.H\. Raisoni Societys, College of Engineering and Management,Pune

Bachelor of Technology, Artificial Intelligence, G H Raisoni College of Engineering & Management

[View the original profile](https://tal.club/meet/gandharv-kulkarni)

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