Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Denisha Thakkar

Denisha Thakkar

Montreal,QC

Summary

Innovative Artificial Intelligence Engineer possessing strong mathematical skills and detailed knowledge of machine learning evaluation metrics and best practices. Offering 4+ years of experience in professional and academia, creating programs and algorithms to enable machines to take actions without being directed. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in python and Generative AI.

Overview

4
4
years of professional experience

Work History

Generative AI Engineer

WordJog
08.2023 - 11.2023
  • Selected appropriate datasets and data representation methods.
  • Managed infrastructure and data pipelines to bring codes to production.
  • Developed a chatbot with custom LLM models with industry specific data which works as an assistant as well as capable of conversational AI.
  • Achieved fine-tuning excellence, enhancing model performance for specific use-cases of large-datasets through Langchain.
  • Researched and implemented best practices to improve existing machine learning infrastructure.
  • Designed machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Utilized data modeling and evaluation strategies to find patterns and predict unseen instances.
  • Compiled, cleaned and manipulated data for proper handling.
  • Modeled predictions with feature selection algorithms.
  • Developed polished visualizations to share results of data analyses.
  • Applied loss functions and variance explanation techniques to compare performance metrics.

Python - AI Developer

Matchpoint Solutions
08.2021 - 08.2022
  • Worked on high-impact projects, e.g., content aggregator and expense tracker.
  • Integrated various external APIs and services in python.
  • Developed a MySQL database, collecting, categorizing, and filtering leads from various stakeholders, i.e., www, social media channels, or newsletters.
  • Handled programming tasks for and maintained 7 internal websites
  • Provided technical guidance and mentorship to interns.
  • Prepared action plans for problematic processes and assets.
  • Wrote, reviewed and edited technical document in accordance with template requirements.
  • Developed planning criteria for integrating and enabling new technologies.

Software Engineer

IBM
08.2019 - 08.2021
  • Wrote highly maintainable, solid code in python for garage system that formed core framework and has won consistent praise from subsequent developers since initial version.
  • Worked closely with software development and testing team members to design and develop robust transportation solutions to meet client requirements for functionality, scalability and performance.
  • Collaborated on all stages of systems development lifecycle, from requirements gathering to production releases.
  • Built, tested and deployed scalable, highly available and modular software products.
  • Developed robust, scalable, modular and API-centric infrastructures.
  • Offered experience with Python and React Native.
  • Administered, supported and monitored databases by proactively resolving database issues and maintaining servers.
  • Consulted with engineering team members to determine system loads and develop improvement plans.
  • Tested programs and databases to identify issues and make necessary modifications.
  • Designed and developed reports using SQL Server Reporting Services.
  • Identified and suggested new technologies and tools for enhancing product value and increasing team productivity.

Education

Master of Science - Computer Science

Concordia University, Montreal, QC
04.2024
  • Elected to Graduate Student Representative for Advisory Research Committee in 2023.

B.Tech. - Information Technology

Symbiosis Institute of Technology, Pune, India
06.2019

Skills

  • Intelligence gathering
  • Statistical analysis
  • Generative AI
  • LLM
  • Diffusion Models
  • Machine learning
  • Project coordination
  • Research abilities
  • Expertise in troubleshooting
  • Performance optimization
  • Data collection
  • Implementing security measures
  • Prototyping
  • Product development
  • Research
  • MS Office
  • SQL
  • Documentation
  • Data analysis

Accomplishments

  • Supervised Machine Learning: Regression and Classification, Coursera course by Andrew NG.
  • AZ-900: Microsoft Azure Fundamentals.
  • IBM: Data Science Foundations - Level 1.

Timeline

Generative AI Engineer - WordJog
08.2023 - 11.2023
Python - AI Developer - Matchpoint Solutions
08.2021 - 08.2022
Software Engineer - IBM
08.2019 - 08.2021
Concordia University - Master of Science, Computer Science
Symbiosis Institute of Technology - B.Tech., Information Technology

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Denisha Thakkar