Hey! I am

Smriti Bajaj

I'm a

About

About Me

    I am a detail-oriented, diligent, and humble professional, actively seeking opportunities to enhance my technical métier via working among a team of data professionals. I develop applications using Django, Node.js, React.js, NoSQL, and SQL and build their intellect by employing Machine learning skills. My projects revolve around computer vision, deep learning, and NLP while leveraging AWS and GCP- platforms and APIs for which I have received acclaim. All this motivates me to dive deeper into the subjects and encourage learning through technical writing on Medium.

  • Name: Smriti Bajaj
  • Address: Boston MA 02215 USA
  • Email: bajajsmriti22@gmail.com
  • Phone: +1(774)717-2777

Download CV

Education

2021-present

Master of Science in Data Science

Northeastern University, Boston, USA

  • Teaching Assistant for Prof. Virgil Pavlu in Supervised Machine Learning(DS 4420) and for Prof. Abhi Shelat in Algorithms(CS 5800) to help graduate students understand the concepts better.
  • Engaged in experiential learning opportunities-
    Worked with Sirius Gobal organization for improved authentication via Strapi providers - Google and LinkedIn APIs; Visualized choropleth maps for their impact score system capable of handling 1M organizations.
  • Certified in "Innovative uses of Artificial Intelligence".
  • Proctored in student dorms- provided frontline support to student residents with a focus on maintaining a safe and positive environment

2014-2018

Bachelor of Engineering in Computer Science

Madhav Institute of Technology & Science, India

  • Received an Honors with Magna cum laude.
  • Was a student mentor (Computer Science)- actively aided and supported students during the transition into University life and provided guidance on a wide range of issues related to academic and learning.
  • Organized technical and cultural events for students and researchers.
  • Won Inter College Programming Competition in C++

Experience

Aug 2022 - Dec 2022

Software Engineer Co-op

Motorola, MA

  • Implemented new features and unit-tests for metric evaluation in an object detection tool using Python.

May 2022 - Aug 2022

Software Engineer Intern

Amazon, CA

  • Performed machine learning experiments for object detection in Python and achieved a performance rate of 82%.
  • For better inference times, deployed tflite models for both CPU and GPU on an Android platform using JAVA.

Nov 2020 - Mar 2021

Applied Research Intern

Indian Institute of Technology, Bombay

  • Led the teams in systematizing agile techniques, development and deployment of the web application for the OCR model using Django and AWS EC2, and modified a Python based layout annotation tool to digitize the Indic books for academia.
  • Improvised the Tesseract OCR model in Python by adding to the dataset through web scraping, fine-tuning the model characteristics, quantitative analysis of other state of the art OCR engines, and achieved 92.4% word-level accuracy.

Apr 2020 - Nov 2020

Software Engineer

Accenture

  • Delivered performant pension chatbot applications in Node.js, Angular 6, React.js, MongoDB, and NLP tools to cater to tailored client requirements.
  • Developed microservices leveraging REST APIs with 3rd party integration of the application via AWS SNS, Salesforce, Zendesk, and social media channels like Hangouts, Facebook messenger.
  • Improvised existing Node.js services for a better performance of the application via code restructuring and an algorithm to send alerts for error recovery.
  • Led business demos, built logical and conceptual data design models and conducted multiple knowledge transfer sessions.

Aug 2018 - Apr 2020

Associate Software Engineer

Accenture

  • Migrated existing services in Typescript framework, AWS lambda functions to microservices ES6 JavaScript framework and built the chat bot via Dialogflow and Node.js internal framework.
  • Designed the platform to detect intents through user queries for different chat bots and trained those utterances using Natural Language Processors- Dialogflow, Lex through slots and regexp.
  • Attained training and certification in Python for Data Science, Artificial Intelligence for beginners.

Jun 2016 - Jul 2016

Analyst intern

Oracle Financial Services Software Ltd.

Explored Splunk and analysed Oracle Financial Services Software logs using processes like data cleaning, pre-processing, visualization, feature engineering, and data modeling. This made security

Skills

ML

75%

Django

90%

React.js

80%

Machine learning

80%

Node.js

85%

Python

90%

MongoDB

85%

SQL

80%

Deep Learning

70%

Awards

2022

Scholar

Grace Hopper Celebration

Attended Grace Hopper Celebration 2022 as a Scholar.

2020

Top performer

Accenture

Rewarded for delivering scalable and intelligent chat bots for multiple clients.

2018

Honors

Madhav Institute of Technology & Science

Received an Honors with Magna cum laude in Computer Science.

Projects

Projects

Python, Django

Blog

Python, ML

IBM call for code project

Technical whitepaper on Zendesk integration with Conversational AI Platform

Whitepaper

Business whitepaper on Zendesk integration with Conversational AI platform

Whitepaper

Python, OpenCV

OCR

Python, sklearn

Neural network

Blog

My Posts

Contact

Contact Me

I would love to hear from you!

Github

Contact Number

Email

LinkedIn