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EXPERIENCE

Past Roles

Jan 2023 - Present

SketchDeck.ai - Senior Machine Learning Engineer

  • Developed DAWN -  ML service that detects structural steel elements, fetches their labels, and their lengths in a construction drawing with an accuracy of over 92% (tested across 105,000+ drawings), using state-of-the-art computer vision deep learning algorithms. This is helping over 300 fabricators daily with their material takeoffs, saving them 65-70% of their time, generating over 4.2m in recurring yearly profits for sketchdeck.

  • Responsible for designing, deploying, and maintaining the ML service DAWN on AWS, and GCP. Using a messaging queue mechanism, DAWN currently handles over 7200 requests every month with an average execution time of 58s.

  • Used multimodal LLMs with few-shot prompting to filter different drawing types that help with faster data annotation and processing.

May 2022 - August 2022

Amazon Web Services (Active MQ) - Software Developer Engineer Intern

  • Successfully migrated hardcoded broker limit overrides to the AWS AppConfig with proper change management and bar raiser strategies.

  • Developed a tool for the operators to update customers' broker limit overrides with just one command, enabling customers to get their increased limits in under a minute as opposed to the previous 10-day cycle.

  • Envisioned and coded a machine learning prototype tool for autoscaling of brokers based on the historical performance of customers' broker instance performances during the Hackathon week.

Sept 2020 - August 2021

Oracle Financials - Data Scientist

  • Strategized the deployment and production of all flask-based ML applications without containerizing or hosting.

  • Extracted information for reconciliation in banks from random remarks and provided a recommendation API with structured information.

  • Set up an ensemble-based Image Processing pipeline for the extraction of details from various identification ids.

  • Created and deployed an automated testing framework to be used across multiple use-cases

  • Deployed an end-to-end Jenkins deployment job for automatically building, deploying, and mailing the results of the concerned ML project to all the stakeholders.

  • Built a UI supported application for customers to extract and verify signatures from any financial/personal documents using deep learning

  • Assisted my team in building a personal finance management tool that not only categorizes monthly expenditures but also provides predictions on what a particular user might spend next (Helpful for directed marketing)

July 2020 - Sept 2020

Self Employed at Discord

  • Built a text-based pokemon game called PokeWod on Discord using discord.py and psql

  • The game was deployed on GCP (currently deployed locally) and had more than 5000 active users until 2022 when I sold the code.

  • The overall complexity was kept down to O(n) and hence the response time of the bot is on an average 50MS.

July 2019 - July 2020

CogniTensor - Data Scientist

  • Predicted possible faults that may occur in both Heavy Duty and Light-Medium Duty vehicles for a Multinational Automobile Company.

  • Built a SAAS product - Chatbot which not only understands the users' typos but also their actual intention.

  • Led a team of 7 in revamping the replenishment model and providing business and predictive analytics of a retail company.

  • Built a SAAS product - Temperature Detector which can detect multiple people and analyze their temperature using the feed from a thermal camera.

  • Led a team of 5 in providing detailed analytics and predicted results for Mumbai's disasters and COVID cases on a dashboard.

  • Created a sentiment analyzer using the Bag of Words approach to calculate sentiment score for paragraphs written in Indian regional languages.

December 2016 - January 2017

Greymeter - Content Writer

  • Answered domain-related topics on their website. The answers were to be precise, yet interesting so that the users can relate and understand the basic concepts. 

  • Received a certificate of Excellence for my writing skills. 

May 2018 - July 2018

NTPC - SAP Intern

  • Interned in the IT department at NTPC Ltd. in SAP hardware and software 

  • Coordinated in writing a Z-code (customized) from T-code (standard) on performance appraisals, part of HR-Module and secured a perfect score during viva and project report evaluation. 

experience.py: Experience

©2020 by Shivek Chhabra. I'll take a potato chip... and eat it!

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