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Engineering Manager, AI at Brivo
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Technology, Guwahati
Bachelor of Technology (B.Tech.)
January 1, 2013 – January 1, 2017
Narayana Educational Institutions
Higher Secondary Education, Mathematics, Physics, Chemistry
January 1, 2010 – January 1, 2012
Sri Netaji (M.S.R) Pilot High School
Secondary Education
January 1, 2008 – January 1, 2010
Brivo
Engineering Manager, AI
March 1, 2026 – Present
Bengaluru · On-site
Brivo
Technical Lead - AI
January 1, 2026 – March 1, 2026
Bengaluru · On-site
Uncanny Vision, an Eagle Eye Networks Company
Technical Lead - AI & ML
July 1, 2021 – January 1, 2026
Uncanny Vision, an Eagle Eye Networks Company
Senior Machine Learning Engineer
June 1, 2019 – June 1, 2021
Uncanny Vision, an Eagle Eye Networks Company
Machine Learning Engineer
July 1, 2017 – May 1, 2019
Image Processing and Computer Vision Lab
Summer Research Intern
May 1, 2016 – July 1, 2016
IIT Guwahati
Entrepreneurial Development Cell, IIT Guwahati
Manager of Ideation and Strategy Team
April 1, 2015 – April 1, 2016
IIT Guwahati
Personalized Medicine : Redefining Treatment
September 1, 2017 – October 1, 2017
Developed a Machine Learning algorithm to classify genetic mutations based on clinical evidence (text).
The Digital Mammography Dream Challenge
July 1, 2016 – December 1, 2016
Developed deep learning models to improve the predictive accuracy of digital mammography for the early detection of breast cancer and also to reduce the recall rate of screening mammography Developed a method to identify the tumour region in the mammogram
Online Signature Verification and Recognition
June 1, 2016 – August 1, 2016
This project aimed to classify the genuine and forgery signatures from the database of signatures. I have implemented the Dynamic Time Warping algorithm on the SVC 2004 dataset and verified with the state of the art results. I have worked on development of an approach based on symbolic representation of signature(Interval Based Representation).
Identification and Classification of Molecular Sub-Types of Breast Cancer
May 1, 2016 – August 1, 2016
Identification and Classification of molecular sub-types of breast cancer using deep learning and machine learning techniques such as CNN's. We worked on developing Convolutional Neural Networks and Patch Extraction Techniques which helped us to achieve good results on H&E stained images of breast biopsy's. Implemented color normalization and stain separation techniques on the raw images of the tissues to bring uniformity in the data.
Machine Learning Projects
February 1, 2016 – April 1, 2016
1) Character Recognition using Bayesian Classifier 2) Segmentation of images using Gaussian Mixture Models and EM algorithm. 3) Face Reconstruction using Principal Component Analysis technique. 4) Built a three class classifier through implementation of Support Vector Machines 5) Classification and Analysis of gene data using regularization and kernelization techniques. 6) Classification of Dog and Cat data using deep learning
CFA Program Level 1
CFA Institute
June 24, 2026 – Present
Fundamentals of Quantitative Modeling
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Spreadsheets and Models
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, particularly in medical and signature verification domains, shows a broad interest in applying AI/ML to various problems. Their progression from Machine Learning Engineer to Engineering Manager demonstrates ambition and growth. While the target role is 'Data Analyst', their extensive background in AI/ML suggests a strong analytical foundation that could be highly beneficial, though a direct alignment with typical data analyst tasks (e.g., SQL, BI tools, A/B testing) is not explicitly detailed in their experience. The CFA certification indicates an interest in quantitative finance, which could be a good fit for data analysis in financial contexts.
Soft Skills & Operational Fit
The candidate's experience as an Engineering Manager and Technical Lead suggests strong leadership, strategic thinking, and team management skills. Their involvement in the Entrepreneurial Development Cell also indicates initiative and an understanding of strategic development. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.