ML Engineer @ Barclays | GenAI | AI Agents | RAG | Data Science | Deep Learning | Pytorch | Statistics | Python | AWS
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Results-driven Machine Learning Engineer & Data Scientist with 10.5 years of overall experience. Experienced in GenAI, LLMs, RAG, AI Agents, NLP, and cloud-based ML deployments. Proven expertise in AWS (SageMaker, Bedrock, Lambda, OpenSearch) and building scalable AI solutions. Skilled at prompt engineering, semantic search, and developing impactful ML pipelines.
Savitribai Phule Pune University
Bachelor of Engineering (B.E.), Electronics Engineering
January 1, 2010 – January 1, 2014
Maharashtra Institute of Technology
Bachelor of Engineering - BE, Electronics Engineering
January 1, 2010 – January 1, 2014
B.B.N college, Gopalganj
Intermediate , Mathematics, Physics, Chemistry
January 1, 2007 – January 1, 2009
High school kalyanpur, Gopalganj
High school, Mathematics, Science, Hindi, Hnglish, Social Science, Sanskrit
January 1, 2006 – January 1, 2007
Barclays
Machine Learning Engineer
November 1, 2021 – Present
Pune, Maharashtra, India
Globant
Data Scientist
September 1, 2019 – November 1, 2021
Dassault Systèmes
Software Engineer
August 1, 2018 – September 1, 2019
Pune Area, India
Infosys
Machine Learning Engineer
December 1, 2016 – August 1, 2018
Infosys
Senior System Engineer
December 1, 2016 – December 1, 2017
Infosys
Systems Engineer
December 1, 2014 – December 1, 2016
Deep Learning 102 -- Optimization Methods and Regularization
PyImageSearch
June 24, 2026 – Present
Business Analytics: Data Reduction Techniques Using Excel and R
Lynda.com
June 24, 2026 – Present
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
Deep Learning 101 -- Neural Networks and Parameterized Learning
PyImageSearch
June 24, 2026 – Present
Building Deep Learning Applications with Keras 2.0
Lynda.com
June 24, 2026 – Present
pandas for Data Science
Lynda.com
June 24, 2026 – Present
Natural Language Processing with Probabilistic Models
Coursera
June 24, 2026 – Present
Natural Language Processing with Classification and Vector Spaces
Coursera
June 24, 2026 – Present
Deep Learning 130 — Hyperparameter Tuning
PyImageSearch
June 24, 2026 – Present
Deep Learning 120 — Regression with CNNs
PyImageSearch
June 24, 2026 – Present
Deep Learning 103 -- Neural Network Fundamentals
PyImageSearch
June 24, 2026 – Present
Python: Data Analysis
Lynda.com
June 24, 2026 – Present
Deep Learning: Image Recognition
Lynda.com
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background with experience across different companies (Infosys, Dassault Systèmes, Globant, Barclays) and roles (Systems Engineer, Software Engineer, Data Scientist, ML Engineer). This breadth of experience suggests adaptability. The progression from general engineering to specialized ML roles aligns with a growth mindset. The numerous certifications in Deep Learning and NLP indicate a proactive approach to continuous learning, which is a positive cultural fit indicator. However, the lack of specific project details beyond job descriptions makes it difficult to fully assess alignment with specific company cultures or collaborative styles.
Soft Skills & Operational Fit
The candidate's resume descriptions indicate experience in client interaction, stakeholder communication, and mentoring, suggesting good communication and collaboration skills. The ability to work in a pressurized environment is also noted. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.