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Principal/Lead Engineer| 5x GCP | AWS | 2x Mulesoft Certified
Kandekar.com - follow me going forward. Machine Learning Engineer with extensive experience in Research design and developing solutions in GenrativeAI, NLU, ASR, and agent-facing bots. Expert in building Llama, Palm (Chat & Text Bison), and ChatGPT, creating step change products and services. Core Expertise AI & Machine Learning: Specializing in Applied AI, particularly in Natural Language Understanding and Automatic Speech Recognition, ContactCenter. Mulesoft Integration Solutions: Proficient in designing robust integration solutions to enhance enterprise connectivity. Product Development: Leading the creation of products in areas - document understanding, search and relevance, discount strategies, and scam detection, forecasting and churn. Technical Skills: Programming Languages: Golang, Java, Scala, Python. Products: Mulesoft, VertexAI Data Processing & Analytics: Spark, Kafka, Hive, Big Data Technologies. Machine Learning Tools: TensorFlow, PyTorch, Pandas, Numpy, XGBoost/LightGBM, OpenCV. Cloud & DevOps: Kubernetes, GCP/AWS, VertexAI. Emerging Technologies: Proficient in LLM, LangChain, Bard, Text-Bison, Chat-Bison, ChatGPT 3.5, Llama. 🎖️ Certifications: • Google Cloud Certified Engineer • Certified Mulesoft Engineer https://www.credential.net/profile/sandeepkandekar488156/wallet
Massachusetts Institute of Technology
Executive Education, Machine Learning & Artificial Intelligence
January 1, 2019 – January 1, 2022
Jawaharlal Nehru Technological University
Bachelor of Technology (B.Tech.), Computer Science
N/A – Present
dropped
MBA - Discontinued, Finance, Insurance
N/A – Present
Northwest Missouri State University
MS, Applied computer Science
N/A – Present
Levi Strauss & Co.
Principal / Lead Engineer - GenerativeAI
February 1, 2025 – Present
Levi Strauss & Co.
Senior Machine Learning Engineer
October 1, 2023 – February 1, 2025
Wayfair
Sr. Staff engineer, Machine Learning
September 1, 2021 – October 1, 2023
Wayfair
Staff Engineer, Applied AI (service)
April 1, 2019 – August 1, 2021
Cars.com
Machine Learning & DataScience Resident
October 1, 2018 – March 1, 2019
Cars.com
Sr. BigData Developer, Machine Learning
March 1, 2017 – March 1, 2019
Cars.com
Senior Developer DevOps
January 1, 2017 – March 1, 2017
Cars.com
Sr. Application Developer
September 1, 2011 – January 1, 2017
PwC
Sr. Associate
April 1, 2011 – September 1, 2011
Greater Chicago Area
Capgemini
Consultant
October 1, 2009 – April 1, 2011
northwest missouri state uinversity
Applied mathematics/security -GA
August 1, 2005 – October 1, 2009
Maryville, MO - 64468
M.S. Education Center for Higher studies
Applied Mathematician
August 1, 2001 – April 1, 2005
How Google does Machine Learning
Coursera
June 24, 2026 – Present
Intro to TensorFlow
Coursera
June 24, 2026 – Present
Feature Engineering
Coursera
June 24, 2026 – Present
Art and Science of Machine Learning
Coursera
June 24, 2026 – Present
Mulesoft Certified Integration Architect
MuleSoft
June 24, 2026 – Present
Guidewire Certified Integration developer
Guidewire Software
June 24, 2026 – Present
End-to-End Machine Learning with TensorFlow on GCP
Coursera
June 24, 2026 – Present
Mulesoft Certified Developer
MuleSoft
June 24, 2026 – Present
Professional Machine Learning Engineer
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Professional Cloud Database Engineer
June 24, 2026 – Present
Launching into Machine Learning
Coursera
June 24, 2026 – Present
Production Machine Learning Systems
Coursera
June 24, 2026 – Present
Image Understanding with TensorFlow on GCP
Coursera
June 24, 2026 – Present
Professional Cloud Security Engineer
June 24, 2026 – Present
Professional Cloud Architect
June 24, 2026 – Present
Professional Cloud DevOps Engineer Certification
June 24, 2026 – Present
Guidewire Certified ClaimCenter 6.0 Functional
Guidewire Software
June 24, 2026 – Present
Getting Started with Google Kubernetes Engine
Coursera
June 24, 2026 – Present
Machine Learning with TensorFlow on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple companies (Levi Strauss & Co., Wayfair, Cars.com, PwC, Capgemini) and roles, from application development to principal/lead engineer in AI, demonstrates adaptability and a broad skill set. Their involvement in various projects, including virtual assistants, intent platforms, and generative AI, indicates a willingness to tackle new challenges and contribute to innovative areas. The extensive list of certifications, especially in cloud and ML, shows a commitment to continuous learning and professional development, aligning well with a culture of growth and technical excellence. The target role of 'Big Data Engineer' aligns well with their foundational experience in Big Data and subsequent specialization in ML/AI, which heavily relies on robust data infrastructure.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and team management skills, having grown and managed technical teams. Their experience in defining standards and practices, coaching, and training developers suggests good operational fit and a collaborative mindset. The focus on architecting solutions and driving modernization initiatives points to a proactive and strategic approach.