Learning Engineer Prophet

BIKASH KUMAR

Artificial Intelligence and Machine Learning Engineer

E-mail: **.******.*****@*******.*** Phone: +91-798******* Innovative Artificial Intelligence & Machine Learning Engineer with 16+ years of experience in application design, development, testing, and deployment. Highly experienced (4+ years) in writing codes and algorithms as well as building complex neural networks, CNNs through various programming languages such as Python (Spyder, Jupyter Notebook, Jupyter Lab). Possess an unbridled passion for Artificial Intelligence with comprehensive knowledge of machine learning concepts, computational neuroscience, data science and other related technologies. Unmatched abilities to identify, understand, and translate program requirements into sustainable, advanced technical solutions through C, C#, JavaScript, Python, SQL and other programs for continuous improvement of AI / ML technologies. Professional Experience

AI, Machine Learning Engineer, PM

Company: Interra Information Technologies URL: www.interrait.com AI & Machine Learning Projects June’ 2017 – Present

Creative AI Jul 2021 - Present

o The model helped in creating dream like effects in images fed to the network where more weird features starts pop up using Google's most freaky, creepy AI algorithm to date, Deep Dream with effects like giving humans an extremely powerful drug.

Solutions for Healthcare Jan 2021 - Jul 2021

o Classify Chest X-Ray - The model helped a Hospital in Toronto, Canada to automate the process of detecting and classifying chest disease (Healthy / Covid-19 / Bacterial pneumonia / Viral pneumonia) and reduce the cost and time of detection (in less than one minute).

o Detecting and Localising Brain Tumours based on MRI scans - Helped a medical diagnosis institute in New York City to improve the speed and accuracy of detecting and localising brain tumors based on MRI scans which drastically reduce the cost of cancer diagnosis and help in early diagnosis of tumors, which would essentially be a lifesaver.

Steel Industry - Production Manufacturing Maintenance Jan 2021 - Mar 2021 o Applied advanced deep learning algorithm to detect and localise defects in steel manufacturing pipeline.

Employee Attrition - Human Resources Department Oct 2020 - Dec 2020 o The model helped a HR department of a Chicago based company to retain top talent within the company by showing which employees are more likely to quit.

Movie Recommender System Jul 2020 - Sep 2020

o The model recommends movies / songs to users based on their interest and usage history using Item-based Collaborative Filtering

Banking – Finance Department Apr 2020 - Jun 2020 o Helped a Bank in Chicago, US in predicting customers who would default on their credit card payments.

Marketing Department Jan 2020 - Mar 2020

o Helped a retail analytics company in Chicago, US in making customer segmentation for a targeted Ad marketing campaign by dividing their customers into at least three distinctive groups

Stock Price, Footfall & Sales – Prediction Oct 2019 - Dec 2019 o Helped a retail analytics company in Chicago, US in predicting their stock price (range), footfall and sales targets.

Customer Sentiment / Emotion Analysis - Facial Expression Detection Jul 2019 - Sep 2019 o Helped a startup in Chicago to build, train and deploy a system that automatically monitors people's emotions (human non- verbal cues such as body language and facial expressions) by showing 15 facial key points & 5 emotions (anger, disgust, sadness, happiness and surprise) and expressions.

Yelp Reviews Classification (NLP) Apr 2019 - Jun 2019 o The model (a mini brain) classified whether a message (email or sms or text) is having a 5-star, 1-star review.

Detect Email Spam Classifier using Naive Bayes - Sentiment Analysis – NLP Jan 2019 - Mar 2019 o The model helped users to detect whether an SMS is a spam. Education

2003 – 2005 MSc – Information Technologies - Karnataka State Open University

Statistics: Making Sense of Data - University of Toronto via Coursera.

Introduction to Machine Learning, Deep Learning – IIT Kharagpur, HarvardX. Key Skills

Data and Quantitative Analysis, Decision Analytics, Predictive Modelling, Data-Driven Personalization

Organizational and analytical skills, Understanding of Technical Documents

Communication and presentation skills,

Excellent Problem Solving, Teamwork, & Project Management. Programing Language / Library

Python (Ver: 3.7.3) – Libraries like, Numpy, Pandas, Scikit-Learn, TensorFlow (Ver: 2.6.0)/Keras/PyTorch, OpenCV, Facebook-Prophet, Lenet, ResNet, ResUNet, Deep Dream.

C (TSR)

Database : SQL (Azure Sql Server, Oracle)

AWS SageMaker, AutoPilot.

Assembly Language (8086 up based instruction set) Hobby / Book Reading

Only The Paranoid Survive – by Andrew S. Grove

The Difference - When good enough isn't enough - by Subir Chowdhury

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