Sanjukta De

Software Engineer

Toronto, Ontario, Canada1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed multi-agent systems for code automation.
Spearheaded medical report generation using AI.
Filed multiple patents in NLP and automation.

Stackforce AI infers this person is a Software Development and Healthcare AI specialist with strong automation expertise.

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Skills

Core Skills

Large Language Models (llm)Natural Language GenerationPythonRobotic Process Automation (rpa)Natural Language Processing (nlp)JavaSelenium TestingMachine Learning

Other Skills

Android DevelopmentContinuous Delivery (CD)Continuous Integration (CI)Data AnalyticsData ScienceData StructuresDatabase Management System (DBMS)Exploratory Data AnalysisFlaskGenerative AIGoogle BigQueryGoogle Cloud Platform (GCP)HTMLMedical ImagingMicrosoft Office

Experience

Amd

2 roles

Sr. Software Development Engineer

Jan 2024 – Present · 2 yrs 3 mos · Markham, Ontario, Canada

Developed a multi-agent system leveraging LLM agents to automate code generation for Coverity, saving 400+ hours of manual effort in resolving static analysis issues.
Spearheaded development of an end-to-end pipeline for automated code change porting and code base reconciliation, achieving an accuracy of 90%, speeding up development cycles and reducing developer effort significantly.

Large Language Models (LLM)

Machine Learning Research Intern

May 2023 – Jan 2024 · 8 mos · Markham, Ontario, Canada

- Conducted research on Generative Inferencing using Large Language Models for learning GPU architecture to perform downstream tasks like optimization, code generation and translation on a self-curated corpus of kernel code

Large Language Models (LLM)Generative AITransformer ModelsPyTorchGoogle BigQuery

16 bit inc.

Data Scientist

Jan 2023 – Apr 2023 · 3 mos · Toronto, Ontario, Canada

Spearheaded an ambitious project leveraging Large Language Models to generate Medical Reports from X-Ray images
Designed and implemented a transformer-based architecture, enabling efficient feature extraction from multiple X-ray images per patient. These features were then fed into a decoder to generate detailed findings and impressions.
Curated and anonymized an extensive dataset of 50,000+ medical images and reports which were stored in an SQLite database that served as the foundation for model building and research.
Ran several parallelized experiments showcasing the project's immense potential to streamline and optimize the medical reporting generation process

Natural Language GenerationLarge Language Models (LLM)Generative AIExploratory Data AnalysisData SciencePyTorch+1

University of toronto

Graduate Teaching Assistant

Sep 2022 – Dec 2022 · 3 mos

CSC108H1 - Introduction to Computer Programming

Problem SolvingPythonData Structures

Dell technologies

3 roles

Software Engineer

Aug 2021 – Aug 2022 · 1 yr

Filed a patent(currently in Authorized state) to propose an optimal solution for the verification of PDFs and Scanned Documents from different sources using NLP-based supervised classification and calibrated templatized data capturing.
Filed a patent(currently in Authorized state) proposing a framework that manages the elements in desktop UI automation and simplifies the test automation process of any desktop application using an external intelligent controller.
Successfully implemented end-to-end automation of Oracle forms using RPA tools UiPath and Power Automate and ran 10+ workflows on the cloud using the Orchestrator for unattended execution.

PythonRobotic Process Automation (RPA)Natural Language Processing (NLP)UiPathMicrosoft Power AutomateSQL+9

Software Engineer Intern

Feb 2021 – Aug 2021 · 6 mos

- Constructed a dashboard using SpringBoot to process Logistics Messages automating critical use cases that accelerated order processing by 30%. Adjusted existing implementations to support 400+ orders per release through the dashboard.

Spring BootJavaSoapUIPythonSQLREST APIs+5

Software Engineer Intern

May 2020 – Jul 2020 · 2 mos

Built an End-to-End Automation Framework using Selenium and Python for automated testing of internal web applications
Lead a POC to enable the execution of test cases on Sauce Labs

PythonSelenium WebDriverpytestSQLDatabase Management System (DBMS)Test Scripts+3

Kiit_ai_society

Project Intern

Aug 2019 – May 2020 · 9 mos

Reviewed papers on different Machine Learning models
Mentored students on the applications of Machine Learning and organized sessions for discussions about new innovations in Artificial intelligence and Machine Learning

Problem SolvingSQLPythonMachine Learning