Amit Jadhav

AI Researcher

Pune, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Led development of enterprise-scale AI systems.
Achieved significant improvements in model accuracy and user engagement.
Expert in MLOps and Generative AI technologies.

Stackforce AI infers this person is a highly skilled AI and Data Science professional specializing in MLOps and Generative AI solutions.

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Skills

Core Skills

Machine LearningMlopsData Science

Other Skills

AI AgentsAgile LeadershipAlgorithmsAmazon Web Services (AWS)Artificial Neural NetworksAzure DevOps ServicesBCBS239Big DataBig Data AnalyticsBuildkite Integration PipelinesContainer OrchestrationContext engineeringConvolutional Neural Networks (CNN)DBT CloudData Analysis

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Jalopeura

Sr Generative AI Data Scientist Manager

Feb 2017 – Present · 9 yrs 4 mos · Pune, Maharashtra, India

Ideating, creating, and implementing Machine Learning models to drive product impact.
Built a diverse team ground up with skills varying from PM, Distributed System engineers, and Full Stack engineers.
Analyzed and tuned the Neo4J queries. Helped set up Neo4j clustered environment for Master-slave, Master-slave replication.
Built predictive models and machine-learning algorithms.
Designed and developed NLP applications according to requirements shared by stakeholders.
Led development of enterprise-scale RAG systems using Langchain, achieving 40% improvement in
response accuracy and 25% increase in user engagement
Architected and implemented multi-agent AI systems for automated workflow processing, reducing manual operations by 60%
Designed and deployed multimodal learning solutions integrating text and image processing for check image processing systems
Developed production-ready LLM applications using frameworks like Langchain, incorporating advanced prompt engineering and vector storage solutions
Successfully managed end-to-end ML projects from ideation to deployment, improving model accuracy by 15% and reducing processing time by 20%
Implemented CI/CD processes for AI systems, maintaining 99.9% uptime for critical services

PythonContext engineeringLangChainRetrieval-Augmented Generation (RAG)Machine LearningData Science+2

Upwork

Data Scientist Independent Contractor

Aug 2012 – Jan 2017 · 4 yrs 5 mos

Used Spark analyzing 11 Gb Stack Overflow data to identify user behaviors.
Worked on Wikidata on a high-level project to build topic ontologies.
Built ETL Pipeline.
Model training and Feature engineering.
Data Sources are extracted, transformed, and loaded to generate CSV data with Python programming and SQL queries.
Stored and retrieved data from data-warehouses using Amazon Redshift.
Used Data Warehousing Concepts like Ralph Kimball Methodology, Bill Inmon Methodology, OLAP, OLTP, Star Schema, Snow Flake Schema, Fact Table, and Dimension Table.
Worked on data pre-processing and cleaning the data to perform feature engineering and performed data imputation techniques for the missing values in the dataset using Python.
Created various types of data visualizations using Python and Tableau.
Worked on converting the existing Excel application into Alteryx application/ WorkFlow which reduces the manual effort for the organization.