Animikh Aich

Computer Vision Engineer

Wobot Intelligence•  June 2019 - Present

● Currently working as a developer in the R&D and Product Development Team. ● Developed and deployed several algorithms for real-time object detection, tracking, and classification on CCTV footage. ● Worked on developing a novel person reidentification algorithm, which is used to re-identify a person and hence calculate his accurate wait-time even when the object of interest suffers from lengthy occlusions. ● Currently working on IP creation by leading the development of an optimized person detector, fine-tuned for CCTV footage, as well as creating object detectors for other custom objects. ● Additionally, I am working on the optimization and deployment of Deep Learning models at scale for both edge and cloud. ● Hands-on with optimized deep learning libraries like Intel’s OpenVINO and Tensorflow Lite. ● Deployed several models on servers by integrating them with Flask and Tensorflow Serving APIs. Additionally, used Docker for containerized deployments. ● Conducted the technical round of interview for new recruits.

Freelance Technical Writer

KnowledgeHut•  July 2019 - August 2019

https://www.knowledgehut.com/blog/author/animikh-aich

Freelance Technical Writer

ZeoLearn•  February 2019 - July 2019

Write Technical Blogs on Data Science and Python as a freelancer. The following links lead to the articles published thus far.

Data Science Intern

KrishiHub•  January 2019 - March 2019

• Developed and tested Machine Learning models for Time Series Price Forecasting. • Tested models on ARIMA for Time Series Price and Demand Forecasting. • Developed LSTM Network Models for Price Forecasting. • Developed CNN Model for Plant Disease Classification.

Artifiical Intelligence Developer (Intern)

KnightsRoboCorp•  January 2018 - February 2018

• Developed Sentiment Analysis Model using Naïve Bayes Classifier. • Developed a GUI based Text Summarizer using PyQt. • Developed a GUI based Language Translator by scraping Google Translate Webpage using PyQt.