Sujay Uday Rittikar

Full-stack developer and data engineer, and MSc (Thesis) candidate in Applied Computer Science working on multilingual NLP and reinforcement learning. I build production AI systems in EdTech, crypto analytics, and real estate.

Winnipeg, Manitoba/ suj00rit20@gmail.com/ GitHub/ LinkedIn

About

I work between applied research and engineering: generative-AI product features, RAG architectures, and the data pipelines underneath them. Close to four years across startups, currently leading product development at QstudyAI. My research is on abstractive summarization across morphologically diverse languages, neural cellular automata for multilingual NLP, and reinforcement learning for post-training.

Education

MSc (Thesis), Applied Computer Science · University of Winnipeg

Sep 2024 - Dec 2026 · GPA 4.375/4.50 · Supervisor: Sheela Ramanna

Multilingual NLP, abstractive summarization, and reinforcement learning for post-training.

BTech, Computer Science and Engineering · Shivaji University

Jul 2018 - Jun 2022 · Kolhapur, India · CGPA 8.32/10.0 · Supervisor: U. A. Nuli

Speech recognition and language-focused systems.

Research & Publications

Graph Neural Cellular Automaton for Multi-Granular Legal Case Summarization. Rittikar, S. U.; Ramanna, S.
Submitted Artificial Intelligence and Law
LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies. Rittikar, S. U.; Ramanna, S.
Pre-print arXiv
Winterpeg: Do Neural Cellular Automata Help Where Pretraining Ends? Rittikar, S. U.; Ramanna, S.
Accepted Eleventh Conference on Machine Translation (WMT)
When Representation Drift Does Not Reflect Functional Contribution: A Regime Analysis of Prompt Tuning. Ben Ali, A.; Rittikar, S. U.; Ramanna, S.
Accepted CIKM 2026
SSCL-DP: Contrastive Post-Training for Degeneration-Aware, Language-Agnostic Abstractive Summarization. Rittikar, S. U.; Ramanna, S.
Under Review Natural Language Processing Journal
Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing. Rittikar, S. U.
Pre-print arXiv
STRIDE Moves Market Sentiment. Rittikar, S. U.; Ramanna, S.
Published Canadian AI 2026
Development of a Context-based Conversation State Prediction System. Rittikar, S. U.; Rangate, S.; Nuli, U. A.; Sathe, M.; Rathor, V.; Patil, D.
Published IEEE AIST 2022

Experience

Full-Stack Developer · QstudyAI

May 2025 - Present · Winnipeg, MB
  • Led end-to-end development of a personalized EdTech AI platform serving 2,000+ users across 20+ universities, with 30,000+ visits to date.
  • Designed and shipped generative features: adaptive quizzes grounded in classical test theory, personalized notes, and AI-generated stories, images, and audio.
  • Built analytics dashboards, performance tracking, and admin tooling, and applied prompt-engineering strategies that improved output quality while reducing model cost.
  • Stack: Next.js, React, TypeScript, FastAPI, MongoDB, AWS, Expo, EAS.

Research & Teaching Assistant · University of Winnipeg

Sep 2024 - Present · Winnipeg, MB
  • Active research in multilingual NLP, reinforcement learning, and prompt-tuning analysis; presented "STRIDE Moves Market Sentiment" at Canadian AI 2026 (Simon Fraser University).
  • Teaching Assistant for GACS-7206 Advanced Machine Learning (Winter 2026), and Mitacs research mentor guiding two students on applied research projects.

Backend & Data Engineer · Weaveflow LLC

Jun 2023 - Aug 2024 · USA
  • Architected and maintained backend and data systems for a social crypto-analytics platform with RAG pipelines and custom LLM integrations, supporting 100% revenue growth over the engagement.
  • Applied clustering models and NLP techniques across heterogeneous crypto and market data, and built custom APIs powering ingestion of diverse feeds and investor-facing analytics.

Data Engineer · Terra Economics and Analytics Lab

Nov 2022 - May 2023 · Bengaluru, India
  • Built distributed ETL pipelines for India's real-estate market, processing approximately 1.5M data points daily.
  • Developed NLP-based transformation systems for ingestion, normalization, and entity resolution across regional listings.

Data Engineering Intern · KYC Hub

Apr 2022 - Oct 2022 · London, UK
  • Automated ingestion of 150+ complex external data sources for sanctions and AML screening.
  • Built 50+ transformation pipelines used in production AML risk scoring and watchlist matching.

Awards, Mentoring & Talks

President's Scholarship for World Leaders

University of Winnipeg · October 2024

Knowledge Mobilization Grant Award

University of Winnipeg · May 2026

Mentoring

  • Mitacs research mentor, guided two students on applied research projects (Jul - Oct 2025).

Talks

  • STRIDE Moves Market Sentiment. Canadian AI Conference 2026, Simon Fraser University, May 2026.
  • Multilingual Propaganda Extraction using LLMs. 3-Minute Thesis Competition, 2025.

Guides & Notes

Occasional deep-dives on things I find interesting.

Cellular Automata: A Comprehensive Guide

March 2026 · Python · Complexity theory

From 1D Wolfram rules and Conway's Game of Life to entropy, reversible CA, and reaction-diffusion systems. Runnable Python throughout.

Three-Way Decision Systems: A Study Guide

May 2026 · Decision theory · Rough sets

Reading notes on Yao's three-way decisions (Trisect-Act-Outcome), from Pawlak rough sets and DTRS thresholds to sequential 3WD, three-way clustering, and modern extensions.