SUMMARY

Motivated Machine Learning Engineer with an in-depth knowledge of designing, developing and deploying models using python, keras, Tensorflow, Pytorch, Docker and optimizing algorithms for the best performance possible. Researched and tested new technologies to support the growth of the business and Collaborated with key project stakeholders to ensure that essential goals were met. AWS Certified Machine Learning Specialist with model optimisation knowledge and also Production deployment methodologies

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Skills

Python

80%

AWS

80%

SQL

75%

JavaScrpit

70%

Java

50%

hidden

Machine Learning

70%

Deep Learning

70%

EDA

70%

Computer Vision

60%

Work Experience

Machine Learning Engineer - Remote, Omdena (New York, United States)

May 2021 — Jul 2021

Worked on understanding problem statements and developing models for goFintel- NEXT Generation platform. Under the framework of the UN Office of Counter Terrorism “UNOCT-UNCCT Global coordinated programme on detecting, preventing and countering the financing of terrorism”
As a team leader made sure to work towards the business goals by devising a ML pipeline for the project to handling imbalanced data with SMOTE or tuning ‘scale_pos_weight’ parameter, Performed EDA to extract important insights to correlate data from financial, criminal activities, and other records to identify and counter the financing of terrorism.
Developed models to predict a suspicious transaction using XGBoost and achieved F1 score of 0.875 and fuzzy c-means model to understand unlabeled data.

Software Developer, Mehta Heino Industry (Finland)

Oct 2020 — Mar 2021

Designed and developed a user-friendly portal using VUE JS to control 3D-printers with Gcode files which can help customers to improve revenue by 10% .
Planned a 1 year timeline of projects for the software division. Lead project meetings with the CEO, CTO, and customers to understand customer requirements and convert them into project deliverables.
Built the interface from scratch using Vuetify and handled printer data communication between open-sourced RepRap firmware and the front end using Vuex to handle state management, props and eventbus for variable updation. Enhanced printer data retention functionality by creating a local database to track user print logs

Program Analyst Trainee, Cognizant (Chennai)

Jul 2020 — Oct 2020

I received training on full-stack development using HTML, CSS, JS, C#, .NET technologies with MVC architecture.

Research Internship - Remote, MIRAASH Engineering & Technology (New Delhi)

Jul 2020 — Aug 2020

We have developed a cloud kitchen safety classifier using computer vision. It helps to classify a safe wash from a regular wash and warns and guides unsafe washes to a complete safety wash.
We developed a model to classify a safe wash using transfer learning, PyTorch, and various standard models Inception V3, ResNet, VGG, ALexNet, and achieved an accuracy of 89%.

Researcher, Aalto University (Finland)

March 2020 — Sep 2020

Collected EEG and fMRI information to model relationships between data to predict fMRI brain neural activity localisations using EEG field potential data.
Performed EDA to understand localised data, Extracted Pearson correlation between fMRI image data and time-series EEG data based on brain location into α, β, γ, δ frequency ranges.

Internship, Lokahitam Techno Solutions (Hyderabad)

April 2019 — May 2019

Designed, developed and deployed a google Dialogflow chatbot to help parents of autism-affected children to find useful resources and information with the required cities.
Created a knowledge resource of useful resources available in various cities for Autism by scraping websites. Planned and built Intenets, Entities and a flow of chatbots support conversations for sharing relevant information and are deployed with Telegram and Messenger.

Education

Masters in Computer, Communication, and Technology ( Bachelors exchange program)

Aalto University , (Espoo)

2020 — 2020

4.28 / 5 GPA
Graduated with distinction
Relevant Coursework - Deep Learning, Artificial Intelligence, ML with python, Information Visualisation
Organizations - Startup Sauna, Erasmus Student Network, Hyde & Teepakki

Bachelors of Technology in Computer Science and Engineering

Amrita School of Engineering , (Coimbatore)

2016 — 2020

8.22 / 10 GPA
Graduated with distinction
Relevant Coursework - Neural Networks, Big Data Analytics, Pattern Recognition, Information retrieval
Organizations - Anokha, NSS, ASCII club, ACE club, t{know}, CORE LAB
Leadership - Technical Head of CSE department for Anokha, Team leader SIH team, ASCII club office bearer, Co-Head - Entrepreneurship Programmes, Sports Captain of CSE Department, NSS Coordinator, Gokulashtami Overall coordinator for CSE Department