I'm Sathyajit, aka @satilog on the web and @satilame on X. Here's some info about me!

• 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

• 🌌 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 🖋️