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Machine Learning | Robotics | IoT
Good with three out of the following four skills: Machine Learning | Robotics | Full Stack Development | Terraforming Experience - Architected and developed the Autonomous navigation suite at Buffalo Automation - Five Years. - Architected and developed the Machine Learning suite at Buffalo Automation - Five Years. - Developed WebSphere E-Commerce applications for various retail companies five - Four Years.
Udacity
Nanodegree, Self-Driving Car Nanodegree Program
January 1, 2017 – January 1, 2018
University at Buffalo
Master of Science (M.S.), Computer Science
January 1, 2016 – December 1, 2017
CYS Multimedia
Diploma, 2D & WebDesigning
January 1, 2011 – January 1, 2012
SSN College of Engineering
Bachelor's Degree, Information Technology
January 1, 2009 – January 1, 2013
Alpha Matriculation Higher Secondary School
High School, Secondary Education, XI - XII, Computer Science,
January 1, 2008 – January 1, 2009
Alpha Matriculation Higher Secondary School
V to X
January 1, 2002 – January 1, 2009
Adarsh Senior Secondary School
Primary Education to IV
January 1, 1996 – January 1, 2001
Ford Motor Company
LLM Platform Architect
November 1, 2023 – Present
Waterloo, Ontario, Canada · Hybrid
Buffalo Automation
Vice President Software
March 1, 2018 – January 1, 2021
On-site
Buffalo Automation
Machine Learning Engineer
June 1, 2017 – March 1, 2021
On-site
University at Buffalo (UB)
Student Assistant
November 1, 2016 – May 1, 2017
Buffalo-Niagara Falls Area
University at Buffalo (UB)
Student Research Assistant
October 1, 2016 – May 1, 2017
Buffalo-Niagara Falls Area
Sirius Computer Solutions
Consultant
October 1, 2015 – July 1, 2016
Greater Chennai Area
Avnet Services: Business Solutions (formerly Ascendant Technology)
Consultant
March 1, 2015 – September 1, 2015
Greater Chennai Area
Avnet Services: Business Solutions (formerly Ascendant Technology)
Associate Consultant
June 1, 2013 – February 1, 2015
Greater Chennai Area
Machine Learning - Grid Localization using Bayes Filter
November 1, 2016 – Present
Grid Localization using Bayes Filter - the algorithm finds out the probabilities of the robot presence at every grid cell. The grid cells with maximum probabilities at each step, characterize the robot’s trajectory and thus leads to the enhancement of robot’s Belief.
Information Retrieval - Boolean Queries, Inverted Index and TAAT/DAAT Algorithms
October 1, 2016 – Present
A project that used the Twitter Steaming API to collect 150 thousand tweets in different languages, pre-processed them and injected into SOLR. Also implemented custom algorithms for TAAT(Term at a Time) & DAAT (Document at a time) processing.
B2C Portal For UK's Leading Bank
February 1, 2014 – May 1, 2014
An application with Portlets developed with WEF (Web Experience Factory) and deployed in WebSphere Portal 8. This application provided an interface to talk to Kastle Factoring services via web services in WEF.
Multimodal Authentication System by Matching Score Level Fusion of Palm and Finger Vein Patterns
January 1, 2013 – Present
The objective of this project is to develop a system for identification and authentication of individuals using vein pattern recognition technique, where the individual’s hand is scanned for input, the vein pattern is extracted and this image is compared with its counterpart registered in the database.
Natural Language Processing in TensorFlow
DeepLearning.AI
June 24, 2026 – Present
Convolutional Neural Networks in TensorFlow
DeepLearning.AI
June 24, 2026 – Present
Sequences, Time Series and Prediction
DeepLearning.AI
June 24, 2026 – Present
DeepLearning.AI TensorFlow Developer Professional
DeepLearning.AI
June 24, 2026 – Present
Data Science - Deep Learning in Python
Udemy
June 24, 2026 – Present
The Complete Guide to TensorFlow 1.x
Udemy
June 24, 2026 – Present
IBM WebSphere Commerce V7 (FEP 7), Application Development
IBM
June 24, 2026 – Present
Developing Portlets and Web Applications with IBM Web Experience Factory 8.0
IBM
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project history shows a strong focus on cutting-edge technologies like autonomous systems, machine learning, and LLMs, which aligns well with an innovative and research-driven culture. The diversity of projects, from academic research to industry roles at Ford and Buffalo Automation, indicates adaptability. However, the lack of explicit collaboration or teamwork descriptions in some roles makes a full cultural fit assessment challenging. The early career focus on J2EE/eCommerce is a significant pivot from the target ML Engineer role, which might indicate a broad interest but also a less focused career path initially.
Soft Skills & Operational Fit
The candidate's experience as 'Vice President Software' and 'LLM Platform Architect' suggests strong leadership, architectural design, and team management skills. The project descriptions indicate an ability to lead complex technical initiatives and work with offshore teams. However, without specific psychometric or communication test results, a detailed assessment of operational fit and soft skills beyond leadership is limited.