Abhik Sarkar

Director of Engineering

Bengaluru, Karnataka, India7 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led ML team in a high-growth startup.
Expert in deep learning and computer vision solutions.
Remote collaboration across 11 countries.

Stackforce AI infers this person is a Machine Learning expert in the SaaS industry.

Contact

Skills

Core Skills

Machine LearningComputer VisionDeep LearningTechnical Consultation

Other Skills

CData ScienceApache KafkaMongoDBC++PyTorchPythonPostgreSQLScikit-LearnFastAPIGoogle Cloud Platform (GCP)Natural Language Processing (NLP)KubernetesMLflowProduct Development

About

I'm Abhik, and I lead the Machine Learning department at a high growth startup focused on computer vision. I blend deep learning and computer vision to craft innovative solutions for safety and security. My role involves team leadership, strategic hiring, and remote collaboration across 11 countries. I'm driven by a passion for innovation and making a meaningful impact through technology. Find my blogs on Medium: https://medium.com/@abhiksark Competencies: - Python , C++, Javascript - Postgres, Mongo, Redis, Kafka , Protobufs, ElasticSearch - GCP, Docker, Kubernetes, VSCode,Lens IDE, Github, Anaconda, Jira, Grafana, OpenSearch - Pytorch, Tensorflow, Scikit-learn, Pandas, Numpy, OpenCV, MLFlow, Milvus, Cython, Nodejs, React, Next, Tailwind

Experience

7 yrs 10 mos

Total Experience

2 yrs 4 mos

Average Tenure

5 yrs 6 mos

Current Experience

Shipscale software solutions

Technical Advisor

Feb 2024 – Present · 2 yrs 3 mos · Bangalore Urban, Karnataka, India · Remote

Technical ConsultationPython

Cloudastructure, inc.

2 roles

Director of Machine Learning

Promoted

Aug 2022 – Present · 3 yrs 9 mos

Managing ML team

CData ScienceApache KafkaDeep LearningMongoDBC+++9

Software Engineer, Machine Learning

Nov 2020 – Aug 2022 · 1 yr 9 mos

Early Hire, Wearing many hats.
Building ML Team and Features.
Python, C++, Pytorch, MLFlow

KubernetesCData ScienceApache KafkaDeep LearningMongoDB+13

Quantiphi

Machine Learning Engineer

Apr 2019 – Nov 2020 · 1 yr 7 mos · Mumbai, Maharashtra, India

Worked as a Machine Learning Engineer for AthenasOwl which is a Machine Learning powered video recognition product of Quantiphi. It mines granular details in a video to identify faces, detect objects, identify locales, recognize spoken keywords, and much more.
My Day to Day work generally revolves around CNNs/ Image Aspect of Machine Learning.

Data ScienceDeep LearningComputer VisionMachine LearningPyTorchPython+4

Athenasowl

Machine Learning Engineer

Apr 2019 – Nov 2020 · 1 yr 7 mos · Mumbai Area, India

Data ScienceDeep LearningComputer VisionMachine LearningPyTorchPython+3

Deloitte india (offices of the us)

Business Technology Analyst

Jun 2018 – Mar 2019 · 9 mos · Hyderabad Area, India

Worked in Human Capital Service Line which deals with research, analysis and design of critical programs involving different aspects of HR Processes.
Got Trained in Workday 30 which is a cloud-based ERP Solution for human capital management and financial management applications. After Training was staffed in worldwide implementation of Financial Giant wherein Delivered both Inbound and Outbound Solutions using Workday Studio and EIBs(Enterprise Interface Builder).

JavaXML

Techment technology

Machine Learning Intern

May 2017 – Jul 2017 · 2 mos · Naya Raipur, Chhattishgarh

Worked in a startup which was having Expertise in Website and Application Development which primarily served OffShore clients majorly based out of the US, tried to integrate Machine Learning in their current workflow pipeline and made the current employees aware about current happenings in the domain

Deep Learning