Summary
Overview
Work History
Education
Skills
Timeline
Generic

Akshita Pachauri

Peoria,IL

Summary

A highly passionate Computer Science Graduate professional, who enjoys solving complex problems through coding and an analytical mindset. Detail oriented and enthusiastic with proven skills of being a fast learner in a fast paced environment. Has a professional work experience of 4+ years as a software engineer.

Overview

5
5
years of professional experience

Work History

Software Engineer Intern

CAMP Systems
05.2022 - 08.2022
  • Saved about 50 thousand dollars/year by developing atransformer-based deep learning model (90.13% accuracy) to perform binary classification of pages using LayoutLM as pre-trained model
  • Used Python with Django to develop application. Deployed the ML model through REST API
  • Developed & successfully tested the model performance, along with training & the predictor script
  • Developed an Optical Character Recognition Based Classification Model as an alternate solution
  • Performed .pdf to image conversion, extracted word from images, worked extensively with Tesseract & pyTesseract, & built a demo app using StreamLit (Python framework) to present the solution.

Research Assistant

UMASS
01.2022 - 05.2022
  • DARPA project : Worked on Deep Learning techniques like Graph Neural Networks in Python using libraries like pandas, Numpy, Pytorch, Pytorch-Geometric for improving the throughput of wireless networks under heavy network loads, adversarial environments, and heterogeneous networks
  • Implemented GNNs on each node to identify, in a privacy-preserving manner. The state of wireless network such that each node could identify traffic patterns in their network & reconfigure their transmission parameters for improving throughput.

Graduate Researcher

UMASS
09.2021 - 05.2022
  • Machine Translation :
  • Developed a 'plain text to SQL’ conversion model which would convert sentences written in natural language (English) to SQL prompts, therefore eliminating the need to code
  • Ran these models on Google Cloud Platform, SSH
  • Developed the model using transfer learning with checkpoints of Google’s T5 (T5-base,T5-large, T5-small, T5-3b) models
  • Evaluated the model using Bleu score, exact match, accuracy & component matching in Python Also worked with high computation models like Transformer based Seq2Seq model for machine translation between English & German using Python based libraries like transformer, Pytorch
  • Machine Learning -Deep Learning Algorithms / Frameworks:
  • Conducted research to understand what factors cause the SARS-Cov2 virus to have a more severe effect on someone, leading to death
  • Developed a Machine Learning Covid-19 Mortality Rate prediction model in Python (92% accuracy), based on researched factors. REST-enabled my ML model with Django REST-APIs
  • Developed a Facial expression recognition machine learning model using AlexNet, VGG-16 & CNN
  • Worked extensively on Linear Regression, Logistic Regression, Naïve Bayes Classifier, SVM, Multi-Layer perceptron, Random Forest, and Decision Trees. Implemented the models in Python.

Cloud Integration Architect

Bayer Crop Science
09.2020 - 02.2021
  • Developed integration scripts for data transformation using Groovy/Mapping. Expertise in configuring sender and receiver adapters - REST, SAP SuccessFactor, SOAP Web services
  • Developed End-To-End implementation design, build and testing of SAP HCI/PI Integration interfaces
  • Handled large-scale data extraction, data cleaning, data processing (Python, Groovy, Mapping)
  • Developed CPI flows to integrate with SuccessFactors and Employee Central modules
  • Implemented SAFe Agile Framework in devp. phase & performed unit testing for various projects
  • Lead a team and allocated & supervised the completion of the tasks within the defined deadlines. Took the collective responsibility and maintained a positive work environment through good teamwork
  • Established & curated strategic partnerships, provided technical expertise to dev & support teams.

Application Development Analyst

Accenture Ltd
04.2020 - 09.2020
  • Worked as a cloud Platform Integration Consultant creating and building end-to-end implementation of SuccessFactors Odatav2 Integration project
  • Performed teasing & troubleshooting problems during the hyper-care phase

Senior Systems Engineer

Infosys Ltd
10.2017 - 04.2020
  • Developed end-to-end SAP HCI/PI/PO Integrations for data synchronization between hybrid systems (Cloud to On premise, Cloud to Cloud Integrations Tested the APIs using POSTMAN
  • Performed acceptance testing for “go live” projects and provided “go live” support to the client
  • Creating synchronous and asynchronous scenarios and end-to-end iflows using Groovy/Mapping. SAP PO - Defining and designing iFlows and designing interfaces using connectors like FTP, SFTP, JDBC etc
  • Used SQL/Pl-SQL for creating outbound and inbound interfaces to process transactions
  • Single-handedly spearheaded the whole project. Single point of contact to the client from integration perspective.

Education

Master of Science - Computer Science

University of Massachusetts - Lowell
Lowell, MA
05.2023

Bachelor of Science - Computer Science and Engineering

Rajasthan Technical University
India
05.2017

Skills

  • Experienced in Python, C (OOPs) Good Knowledge in STL concepts of C
  • Have extensively worked with various Python libraries like Pandas, Numpy, PyTorch, Keras, TensorFlow
  • Used OS including Windows, Linux, MacOS for python based development (software development, new feature development) and testing for various application/algorithms Experienced in Shell scripting
  • Experience in Machine Learning (ML), Natural Language Processing (NLP) Created applications using Django frameworks in Linux based OS REST-enabled ML models with Django REST-APIs
  • Experienced in large scale data integration and migration using adapters like REST, SOAP
  • Experienced in creating REST API in Python using Django framework
  • Strong problem solving and software debugging skills
  • Working knowledge of security best practices and SDLC
  • Experience with Agile development, Jenkins, and continuous integration processes and applications
  • OS: Windows, Linux, Mac
  • Languages/Frameworks: Python, C, SQL, Pl/Sql, Haskell, Groovy, Django
  • Others: Snowflake, GitHub, Google Cloud Platform, SSH, Google Colab, POSTMAN, Visual Studio
  • Code, Jupyter Notebook, Anaconda, HuggingFace, Eclipse IDE, Android Studio, Jira, Confluence

Timeline

Software Engineer Intern

CAMP Systems
05.2022 - 08.2022

Research Assistant

UMASS
01.2022 - 05.2022

Graduate Researcher

UMASS
09.2021 - 05.2022

Cloud Integration Architect

Bayer Crop Science
09.2020 - 02.2021

Application Development Analyst

Accenture Ltd
04.2020 - 09.2020

Senior Systems Engineer

Infosys Ltd
10.2017 - 04.2020

Master of Science - Computer Science

University of Massachusetts - Lowell

Bachelor of Science - Computer Science and Engineering

Rajasthan Technical University
Akshita Pachauri