I'm Sathyajit, aka @satilog on the web and @satilame on X. Here's some info about me!
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Teaching Assistant @ University of Regina
Taught and evaluated labs for courses on Data Structures and Algorithms in C++.
(Regina, Canada. 2024 - Present) -
Software Engineer @ Watchdog – Focused on R&D
Built knowledge platforms, implemented RAG models, and increased user interaction by 5x.
(Colombo, Sri Lanka. 2022 - 2023) -
Software Engineer @ Rooster Technology
Developed scalable microservices, real-time user alerts, and increased user engagement by 490%.
(Colombo, Sri Lanka. 2020 - 2022) -
Data Engineer @ Yukon Software
Automated ETL pipelines, built geospatial dashboards using PostgreSQL and PostGIS.
(Colombo, Sri Lanka. 2020 - 2020)
- Building products that solve real-world problems.
- Creating efficient systems with semantic search and vector-based models.
- Learning about reinforcement learning and generative AI.
- Languages:
Python,JavaScript,TypeScript,C++ - Frameworks & Libraries:
React,Next.js,Flask,Node.js - Cloud & DevOps:
AWS,GCP,Kubernetes,Docker,Vercel - Data & Search:
PostgreSQL,MongoDB,Redis,Elasticsearch,Pinecone - AI & Machine Learning:
TensorFlow,PyTorch,Keras,Scikit-learn - Integration & Messaging:
GraphQL,Kafka,RabbitMQ
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🌌 NASA Space Apps Challenge (2024):
Developed an interactive exoplanet explorer using React and three.js, with KNN and LLM-based classifiers for identifying habitable exoplanets.
🎥 Demo -
📊 McGill FIAM Asset Management Hackathon (2024):
Developed a hybrid rolling forecast model using Temporal Fusion Transformer (TFT) for stock predictions. Implemented pipelines on GCP for data preprocessing. -
🎓 Illumine - AI-Powered Educational Platform:
Engineered an AI-powered curriculum generation platform using Gemini AI, reducing grading time to seconds.
🎥 Demo -
⚕️ Clinical Assistant App - MIMIC-IV Data Analysis and Visualization:
Built a data analysis platform on GCP for the MIMIC-IV clinical dataset, integrating classical ML models and BioGPT. Used BigQuery and Cloud Functions for data pipelines and Docker + Kubernetes for scalability.
🎥 Demo -
🎥 Surveil AI:
Developed a semantic search system for surveillance footage, integrating image captioning, object detection, and hybrid vector models with BM25 and ClipViT embeddings. -
🛒 StoreNav - AI-Driven Store Navigation Optimization:
Fine-tuned an Xception-based model to achieve 96% accuracy in segment classification. Implemented graph-based pathfinding with A* and TSP heuristics, achieving sub-second query optimization.
🎥 Demo
- 2nd Place ($2500) - Co.Hacks 2024 by Co.Labs
- Global Finalist - NASA Space Apps Challenge 2024 🌌
- Best Use of MongoDB - Web3Apps MLH Hackathon 2024 🏅
- People’s Choice Award ($1000) - 24 Hour AgTech Startup (Canada Farm Show 2024)
📧 loganathansathyajit@gmail.com
🌐 satilog.io
LinkedIn | GitHub
"Reading maketh a full man; conference a ready man; and writing an exact man; and, therefore, if a man write little, he had need have a great memory; if he confer little, he had need have a present wit; and if he read little, he had need have much cunning, to seem to know that he doth not.
— Francis Bacon 🖋️
