Tapas A.

AI Researcher

Bengaluru, Karnataka, India8 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Data Science and Machine Learning.
  • Experience in building autonomous retail solutions.
  • Strong background in bioinformatics and computational analysis.
Stackforce AI infers this person is a Data Science and Machine Learning specialist with experience in Retail Tech and Bioinformatics.

Contact

Skills

Core Skills

Data Science

Other Skills

Amazon Web Services (AWS)Analytical SkillsCC++CUDAComputer VisionData AnalysisData MiningDeep LearningDockerElasticSearchFirebaseInternet of Things (IoT)JenkinsKeras

About

Looking for exciting problems in Machine Learning .

Experience

8 yrs
Total Experience
1 yr 4 mos
Average Tenure
5 yrs 4 mos
Current Experience

Freelance

AI Consultant

Feb 2021Present · 5 yrs 4 mos · Remote

Circle internet

Data Scientist

Sep 2019Mar 2020 · 6 mos · Bengaluru Area, India

Data Science

Pikup.ai

Deep Learning Engineer

Mar 2019Jun 2019 · 3 mos · Bengaluru, Karnataka, India

  • Building autonomous cashierless retail stores
Data SciencePyTorch

Aimonk labs private ltd

Machine Learning Engineer

Dec 2017Feb 2019 · 1 yr 2 mos · Bengaluru Area, India

Data SciencePyTorch

Bigclozet

Machine Learning Engineer

Jan 2017Jul 2017 · 6 mos · Bengaluru Area, India

  • Solving fashion discovery through machine learning
Data Science

Vmock

Software Developer

Jul 2016Oct 2016 · 3 mos · Gurgaon, India

Tu dresden

Summer Research Intern

May 2014Jul 2014 · 2 mos · Dresden Area, Germany

  • Improved 6-D pose estimation of object using 3-D object Co-ordinates.
  • Worked on Kinect Fusion and modified the source code to create a dataset of RGB image, depth image and transformation matrix for learning 6-D pose.
  • Worked on improving the probability mask for query object for learning 6-D pose. Implemented Grabcut and Graphcut algorithm to de-noise the probability mask.

Biocos life sciences

Summer Internship

May 2013Jul 2013 · 2 mos · Bengaluru Area, India

  • Developed a computational pipeline for identifying peaks(binding sites of a specific DNA associated protein) by ChIP-seq analysis of high throughput gene data using various statistical and data manipulation algorithms.
  • Implementation was done using R and Perl programming language.
  • Worked on bioinformatics tools like MACS, Bamtools, Samtools, UCSC browser.

Education

Film and Television Institute of India, Pune

P.G. Certificate Course — TV Direction

Dec 2025Present

Indian Institute of Technology, Kanpur

BS-MS dual degree — Mathematics and Scientific Computing

Jan 2011Jan 2016

St. Peter's College , Agra (U.P)

High School

Jan 2000Jan 2009

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