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Lead Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning
Dhirubhai Ambani University
Master of Technology (MTech), Machine Intelligence
January 1, 2015 – January 1, 2017
Indus Institute of Technology
Bachelor of Engineering (B.E.), Computer Engineering
January 1, 2009 – January 1, 2013
FactSet
Lead Machine Learning Engineer
October 1, 2025 – Present
FactSet
Senior Machine Learning Engineer
April 1, 2022 – September 1, 2025
FactSet
Machine Learning Engineer
July 1, 2017 – March 1, 2022
Sparsh Technologies
Software Engineer
July 1, 2013 – June 1, 2014
Ahmedabad Area, India
Attensa software
Software Engineer Intern
June 1, 2012 – May 1, 2013
Ahmedabad Area, India
GPS & GSM Based Real-Time Tracking System
May 1, 2012 – Present
Vehicle Tracking System is a turn-key solution for vehicle owners or fleet operators to determine the location of the vehicle.The solution includes vehicle tracking unit which is installed in vehicles to collect the vehicle information. Vehicle tracking software is a web based software application that monitor the current location of the vehicle along with other history details of the vehicle via internet.The solution allows users to monitor and control the movement of vehicles viz. trip start,completion time, distance traveled, speed etc. at any point of time. This helps in better fleet management by reducing the operating costs and while delivering mobile assets more effectively.
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Financial Modeling and Forecasting Financial Statements
June 24, 2026 – Present
Digital Transformation
June 24, 2026 – Present
Introduction to Machine Learning in Production
Coursera
June 24, 2026 – Present
Machine Learning Data Lifecycle in Production
Coursera
June 24, 2026 – Present
Natural Language Processing in TensorFlow
Coursera
June 24, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
Sequences, Time Series and Prediction
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Learning the OWASP Top 10
June 24, 2026 – Present
OWASP Top 10: #1 Injection and #2 Broken Authentication
June 24, 2026 – Present
OWASP Top 10: #3 Sensitive Data Exposure and #4 External Entities (XXE)
June 24, 2026 – Present
OWASP Top 10: #5 Broken Access Control and #6 Security Misconfiguration
June 24, 2026 – Present
OWASP Top 10: #7 XSS and #8 Insecure Deserialization
June 24, 2026 – Present
OWASP Top 10: #9 Components with Known Vulnerabilities and #10 Insufficient Logging and Monitoring
June 24, 2026 – Present
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
Programming Foundations: Secure Coding
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career has been primarily focused on Machine Learning Engineering, which is a significant deviation from the 'Frontend Developer' target role. While the candidate has a strong background in ML and some general software engineering experience, there is no explicit mention of frontend-specific projects, technologies, or roles. This indicates a poor cultural fit for a dedicated frontend position, as their core expertise and interests appear to lie elsewhere. The single personal project description does not specify frontend technologies.
Soft Skills & Operational Fit
The candidate's resume indicates a progression through senior and lead roles, suggesting strong leadership and problem-solving skills. However, without specific project details or behavioral assessments, it is difficult to fully assess operational fit and soft skills beyond what is implied by career trajectory. The psychometric test score is not provided, which would offer more insight.