Aveek Brahmachari, Ph.D.

CTO

Bengaluru, Karnataka, India21 yrs 7 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • 20 years of experience in machine learning and computer vision.
  • PhD with publications in top journals and conferences.
  • Expert in algorithm design and data processing techniques.
Stackforce AI infers this person is a Data Science and Machine Learning expert in the Healthcare and Technology sectors.

Contact

Skills

Core Skills

Deep LearningMachine LearningComputer VisionData ScienceImage Processing

Other Skills

Algorithm DesignAnalytical SkillsAssociation Rule MiningBayesian InferenceCC++Code ReviewCommunicationConditional Random FieldsConvolutional Neural NetsData CleaningData MiningData NormalizationDecision TreesExpectation Maximization

About

Primary Objective : To progress science by out-of-box thinking and contribution towards optimal solutions to scientific and engineering problems by a career in research and development. Specialties and Expertise: (20 years experience including Ph.D.) • Geometrical and Statistical Pattern Search and Matching • Deep Learning, Convolutional Neural Nets • Image Processing, Computer Vision, Data Mining, Machine Learning, Pattern Recognition • ML techniques like Expectation Maximization, Gaussian Mixture Models, Random Sampling, Monte Carlo Markov Chain, Hidden Markov Models, Graphical Models and Bayesian Inference, Markov Random Fields, Conditional Random Fields, Association Rule Mining, Decision Trees, Random Forests, Gradient Boosting Machines, Logistic Regression, Support Vector Machines, Neural Networks, Deep Learning • Data Cleaning, Data Normalization, Feature Engineering, Feature Selection • Algorithm Design PhD with publications in top journals TPAMI and top conferences like ICCV and ACM-MM Career Snapshot • Senior Scientist, Philips [2022- Till date] • Senior Staff Engineer, Stryker [2016-2022] • Lead Data Scientist, Mobileum [2014-2016] • Chief Engineer, Samsung [2012-2014] • M.S. + PhD [2007-2012] Computer Science & Engineering, University of South Florida, Tampa (USA). • Scientist C, DRDO [2007] • Scientist B, DRDO [2004-2007] Programming Languages : Visual C++, C++, C, Matlab, R, Python, OpenCV Other Technical Exposure : Java, Hadoop, MPI, Tcl/Tk

Experience

21 yrs 7 mos
Total Experience
3 yrs 4 mos
Average Tenure
1 yr 5 mos
Current Experience

L&t semiconductor technologies

Principal Research Scientist | CTO Office

Jan 2025Present · 1 yr 5 mos · Bengaluru, Karnataka, India

PyTorchDeep Learning

Philips

Senior Scientist

Jun 2022Jan 2025 · 2 yrs 7 mos

MLOpsLarge Language Models (LLM)PyTorchMachine Learning

Stryker

Senior Staff Engineer (R&D)

Jan 2016Jun 2022 · 6 yrs 5 mos · Gurgaon

  • Computer Vision, Image Processing, Machine Learning and Robotics applied to Robotic Surgery and Trauma & Extremities
Point CloudsJupyterProblem SolvingStrategic ThinkingProduct DevelopmentTechnical Leadership+12

Mobileuminc

Lead Data Scientist

Jun 2014Jan 2016 · 1 yr 7 mos · Gurgaon, India

  • Mobile Call Graphs
  • Mobile Fraud Analytics
  • Location Prediction using Call Detail Records.
Point CloudsJupyterProblem SolvingProduct DevelopmentTechnical LeadershipAnalytical Skills+6

Samsung electronics

Chief Engineer

Dec 2012Jun 2014 · 1 yr 6 mos · Noida Area, India

  • Phone embedded inertial sensors based distance estimation.
  • Heuristics for watercolor effect on mobile phone.
  • Image search on mobile platform.
  • Camera preview based scene information retrieval.
  • Multiple images to 3D model reconstruction on mobile platform.
  • Human Computer Interaction - Gaze detection and head orientation estimation
Point CloudsProblem SolvingProduct DevelopmentTechnical LeadershipAnalytical SkillsSoftware as a Service (SaaS)+5

University of south florida

3 roles

Instructor

May 2011Jul 2011 · 2 mos · Tampa/St. Petersburg, Florida Area

  • Taught Data Structures in C++
Point CloudsProblem SolvingTechnical LeadershipAnalytical SkillsSoftware as a Service (SaaS)Code Review+3

PhD Candidate

Aug 2007Dec 2012 · 5 yrs 4 mos · Tampa/St. Petersburg, Florida Area

  • Basic Research
  • Our research is to deal with situations when we want very high accuracy of reconstruction from data that might have up to 95% noise. This research extends from two view geometry to multi-view geometry in computer vision and is general enough to be applied in any data-mining and machine learning application. Even randomized approximation algorithm like RANSAC for NP hard matching problem would require billions of iterations to meet 99% accuracy in such heavy noise and so cannot be brought into practice. Our task is to accomplish this in manageable iterations or time so that reliable 3D reconstructive geometry can be made practical over devices as common as mobile cameras. This goal lead us to
  • BLOGS : Balanced Local and Global Search for Non-Degenerate Epipolar Geometry.
  • Position based feature descriptor.
  • Applied Research
  • Clustering wide-baseline views and finding path through them without needing any training step.
  • Detection of noisy GPS and magnetometer tags in a collection of unordered views.
  • Clustering videos based on temporal patterns.
  • Similarity measure between 2D archaeological images or 3D scan data to predict their deterioration rate or for archival.
Point CloudsProblem SolvingTechnical LeadershipAnalytical SkillsSoftware as a Service (SaaS)Code Review+3

Research Assistant/ Teaching Assistant

Aug 2007Dec 2012 · 5 yrs 4 mos · Tampa/St. Petersburg, Florida Area

  • Alliance for Integrated Spatial Technologies, University of South Florida, Tampa, Florida, USA
  • Period : Dec 2011 to current
  • Designations : Research Assistant
  • Major Activity : Research and development of similarity measure for archaeological 2D images or 3D scan data.
  • Department of Geology, University of South Florida, Tampa, Florida, USA
  • [United States Geological Survey funded project]
  • Period : Aug 2010 to July 2011
  • Designations : Research Assistant
  • Major Activity : Software design and development for visualization of analytical diagrams for volcanic data.
  • Department of Computer Science & Engineering, University of South Florida, Tampa, Florida, USA
  • Period : Aug 2007 to July 2009 & Jan 2010 to July 2010 & Aug 2011 to Dec 2011
  • Designations : Teaching Assistant /Research Assistant
  • Major Activities
  • o Teaching data structures in C/C++.
  • o Contributed in software design and development of
  • American Sign Language Tutoring Tool to assist learners in learning the American Sign Language.
  • Nano-magnet Model Designer: An editing tool for designing nano-scale logic gates.
Point CloudsProblem SolvingTechnical LeadershipAnalytical SkillsSoftware as a Service (SaaS)Code Review+3

Drdo

2 roles

Scientist 'C'

Jul 2007Jul 2007 · 0 mo

  • Image Processing research and software development in VC++ and worked as a team player in Software Integration of various image processing software developed by the Image Analysis Group, DEAL, DRDO, India.
Point CloudsProblem SolvingTechnical LeadershipAnalytical SkillsSoftware as a Service (SaaS)Code Review+3

Scientist 'B'

Sep 2004Jun 2007 · 2 yrs 9 mos

  • Image Processing research and software development in VC++ and worked as a team player in Software Integration of various image processing software developed by the Image Analysis Group, DEAL, DRDO, India.
Point CloudsProblem SolvingProduct DevelopmentTechnical LeadershipAnalytical SkillsSoftware as a Service (SaaS)+4

Education

University of South Florida

PhD — Computer Science & Engineering

Jan 2009Jan 2012

University of South Florida

MS — Computer Science and Engineering

Jan 2007Jan 2009

Indian Institute of Technology (Indian School of Mines), Dhanbad

B.Tech. — Computer Science and Engineering

Jan 2000Jan 2004

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