Shrinivas Kulkarni

AI/ML Developer

Pune 0+ yrs exp 82 · Excellent

About

AI/ML Developer with expertise in building production-ready machine learning solutions across NLP, computer vision, and recommendation systems. Currently pursuing an MBA in AI and Data Science while working as an AIML Developer Intern at SUMAGO Infotech, successfully delivering 5 ML models with 85-90 accuracy. Proficient in Python, Scikit-learn, TensorFlow, PyTorch, and advanced NLP frameworks (Hugging Face, Cohere), with a proven ability to implement end-to-end ML pipelines. Recognized as Best Performer of the Month for delivering high-impact solutions and driving innovation in AI research.

Skills & Expertise (59)

Python Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Model Training Intermediate

7.0/10

Years Exp

Data Preprocessing Intermediate

7.0/10

Years Exp

Regression Intermediate

7.0/10

Years Exp

Classification Intermediate

7.0/10

Years Exp

Exploratory data analysis Intermediate

7.0/10

Years Exp

Supervised Learning Intermediate

7.0/10

Years Exp

Predictive Modeling Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Matplotlib Intermediate

6.5/10

Years Exp

Seaborn Intermediate

6.5/10

Years Exp

Data Visualization Intermediate

6.5/10

Years Exp

Tokenization Intermediate

6.5/10

Years Exp

Text Preprocessing Intermediate

6.5/10

Years Exp

Feature Engineering Intermediate

6.5/10

Years Exp

Evaluation Intermediate

6.5/10

Years Exp

Hyperparameter Tuning Intermediate

6.5/10

Years Exp

Neural Networks Intermediate

6.5/10

Years Exp

TensorFlow Intermediate

6.5/10

Years Exp

Clustering Intermediate

6.5/10

Years Exp

Unsupervised Learning Intermediate

6.5/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

Keras Intermediate

6.5/10

Years Exp

Google Colab Intermediate

6.0/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

Gitlab Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

Sentiment Analysis Intermediate

6.0/10

Years Exp

Hugging Face Transformers Intermediate

6.0/10

Years Exp

NLTK Intermediate

6.0/10

Years Exp

SpaCy Intermediate

6.0/10

Years Exp

CNN Intermediate

6.0/10

Years Exp

PyTorch Intermediate

6.0/10

Years Exp

BeautifulSoup Intermediate

5.5/10

Years Exp

OpenCV Intermediate

5.5/10

Years Exp

Image Processing Intermediate

5.5/10

Years Exp

Image Classification Intermediate

5.5/10

Years Exp

Text-to-speech Intermediate

5.5/10

Years Exp

Speech Recognition Intermediate

5.5/10

Years Exp

Web Scraping Intermediate

5.5/10

Years Exp

API Integration Intermediate

5.5/10

Years Exp

Selenium Intermediate

5.5/10

Years Exp

Flask Intermediate

5.5/10

Years Exp

SQL Queries Intermediate

5.5/10

Years Exp

database design Intermediate

5.5/10

Years Exp

MongoDb Intermediate

5.5/10

Years Exp

Postgresql Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

SQLAlchemy Intermediate

5.5/10

Years Exp

RESTful APIs Intermediate

5.5/10

Years Exp

Streamlit Intermediate

5.5/10

Years Exp

FastAPI Intermediate

5.5/10

Years Exp

Work Experience

AIML Developer Intern

SUMAGO Infotech

Oct 2024 - Aug 2025

Developed and deployed 5 production-ready machine learning models across classification, regression, recommendation, and fraud detection use cases, achieving 85-90 prediction accuracy using Scikit-learn, Pandas, and Python. Processed and analyzed large-scale datasets by performing data preprocessing, feature engineering, and exploratory data analysis (EDA) using Matplotlib, Seaborn, and Power BI to extract actionable insights and identify key patterns. Built end-to-end ML pipelines spanning data collection, model training, validation, and deployment, ensuring robust performance across diverse problem domains. Optimized model deployment architecture to ensure scalability and efficiency, resulting in enhanced production performance and reduced inference time for real-time predictions. Researched and integrated state-of-the-art ML techniques including transformer models, advanced NLP methods, and ensemble learning approaches to enhance AI capabilities in product workflows. Collaborated with cross-functional teams to translate complex business requirements into technical ML solutions, delivering measurable impact across multiple projects. Recognized as Best Performer of the Month for outstanding contributions to ML model development, consistently delivering high-accuracy solutions (85-90) and driving innovative AI research initiatives.