Devan Srinivasan
DEVELOPER
I am a Masters Student at the University of Toronto researching in NLP and Computational Linguistics. I love mathematics and problem solving which has led me to explore projects in just about every discipline (see below).
The multicolor periodic table below is inspired by my mother, a chemical engineer, who encouraged me to pursue science.
HOBBIES:
CONNECT WITH ME
Featured Projects
WHAT IT IS
Enterprise-level automated research system, that given a use case described with natural language, deploys an deploys parallelized asynchronous ai agents as a research team, to find structured data addressing the research use case. Unfortunately this is a private project thus the application and code is not available.
TECHNOLOGIES USED
LLMs
RAG
AI Webscraping
ScrapegraphAI
Perplexity
Selenium
WHAT IT IS
Our team investigated incorporating value based gradients, and multistep prediction in the dreaming process within the DreamerV2 model. DreamerV2 was previously SOTA (replaced by DreamerV3) on long-term RL planning tasks (like Minecraft). My main contribution was the value based gradients, training and evaluating the model, and helping with the paper.
TECHNOLOGIES USED
ML
PyTorch
Captum
WHAT IT IS
I sought to investigate the interpretability of diffusion models for image generation. I used a simple model, and trained it to generate digits. I then used various ML interpretability techniques to investigate any patterns and "interpretable" observations in the model.
TECHNOLOGIES USED
ML
PyTorch
Captum
All Projects
AND CONTRIBUTIONS
WHAT IT IS
Enterprise-level automated research system, that given a use case described with natural language, deploys an deploys parallelized asynchronous ai agents as a research team, to find structured data addressing the research use case. Unfortunately this is a private project thus the application and code is not available.
TECHNOLOGIES USED
LLMs
RAG
AI Webscraping
ScrapegraphAI
Perplexity
Selenium
Timeline
2024 - 2026
MSc in NLP
University of Toronto
- Pursuing a MSc in NLP under the supervision of Dr. Gerald Penn.
- Current Project: Building AI technology for creative writing
Summer 2024
Developer
Enginable
- Built large-scale AI agentic pipelines to optimize manual processes by over 99% -- reduced time from 30+ hours to mere minutes
- Developed enterprise-level data engineering pipelines using customized NLP and clustering algorithms, as well as SOTA AI frameworks, optimized by cost for efficiency -- resulting in thousands of dollars and countless hours saved
- Collaborated on the design of a SOTA RAG system for business processes
- Served as a technical consultant, leading client conversations and demos
Spring 2024
Undergraduate Research Intern
embARC
- I was a research intern under the supervision of Dr. Nandita Vijaykumar in her research group, embARC.
- I used GPU profilers (Nsight Systems) to analyze the memory transfer during RL training inside Nvidia's Isaac Gym
- I also learned about task planning and SLAM systems for automated chemistry labs
Fall 2023
Operations and Development
Koala Studios
- Designed and built a blog page for the company’s website in React, resulting in better brand establishment and educational community centred around the company’s expertise
- Developed and manage our marketing strategy and sales strategy; this includes writing & revising client project proposals, conducting market research and developing reports, as well as researching leads and creating pitches
- Signed multiple clients within the first 2 months of working
Summer 2023
Junior Frontend Developer
Steamlabs
- Designed and built a new navigation & tracking system feature for the main project used by hundreds
- Built an animated component in React and developed routes and context structures in the Node server, improving the game experience in response to user feedback & testing
- Ideated and built a transpiler using antlr and js-interpreter to parse Harlowe code in Twine
- New transpiler introduced cross-story dynamic functionality into Twine-based games previously unavailable
2022 - 2023
Founder
Mathamoo
- Having been a tutor and math educator for a long time, I created my own business to teach math and support those in need of extra help.
- I trained tutors on my educational strategies and approaches to delivering mathematics.
- All students they tutored reported notable academic improvement.
Summer 2022
Solutions Associate
Deloitte
- Built frontend design from figma mock-up for AI / big data internal project using React
- Founded the CDC Learning Community of over 90 members across Deloitte Montreal
- Trained and certified myself in Azure and Databricks ahead of schedule by 5 days and taught others as well
- Synthesized then created documentation for solutions using Azure Data Factory and Azure Synapse Pipelines
Summer 2021
Research and Software Intern
University of Toronto - Social Science Research Team
- Interned for a social science research team to use programming to help them understand tools and produce data
- Used AI software API to review massive datasets, cutting time from 60+ hours to mere minutes
- Saved the team 3+ hours by mass-producing datasets through script automation and creating custom plots for analysis
- Utilized phonetic analysis libraries to assess AI transcription software computationally, optimizing the duration of the task from 50 minutes to under 10 seconds
Summer 2021
Software Intern
University of Toronto - CS Dept.
- Interned for the SDS team at UofT to maintain and upgrade the school’s marking software
- Improved quality of the code by utilizing react-chartjs2 library and reducing code needed (Ruby & React)
- Solved bugs such as missing columns when downloading CSV grades reports improving user experience for TAs. My changes are currently utilized by thousands of students, and hundreds of TAs
2020 - 2024
Bachelor's Degree
University of Toronto
- HBSc Computer Science Specialist & Mathematics Major
- 4.0 GPA