███╗ ██╗ ██╗ ██╗ ███████╗ ██████╗ ████╗ ██║ ██║ ██║ ██╔════╝ ██╔══██╗ ██╔██╗ ██║ ██║ ██║ ███████╗ ██████╔╝ ██║╚██╗██║ ╚██╗ ██╔╝ ╚════██║ ██╔══██╗ ██║ ╚████║ ╚████╔╝ ███████║ ██║ ██║ ╚═╝ ╚═══╝ ╚═══╝ ╚══════╝ ╚═╝ ╚═╝
குழல்இனிது யாழ்இனிது என்பதம் மக்கள் மழலைச்சொல் கேளா தவர்.
'The pipe is sweet,' 'the lute is sweet,' by them't will be averred, Who music of their infants' lisping lips have never heard.
புதல்வரைப் பெறுதல் · அறத்துப்பால்
Kural #66 · August 30, 2026
Updated daily via GitHub Actions
I'm Nitish V, an engineer who builds things that sit at the intersection of machine learning, and real-world impact. I hold an MS in Computer Science from the University of Colorado Boulder (SKO Buffs!), and I've spent my career so far writing software that ranges from preventing elderly patients from falling to matching limit orders in microseconds.
Currently at JPMorgan Chase building event-driven microservices that process real-time financial data. Previously at an AI stealth startup, taking products from idea to production.
I don't just write code. I build systems that matter.
I recently completed my work on this Thirukkural - I implemented a Gacha system to pick one so as to never run out of options. Check it out and share your thoughts!
I am also finetuning a couple of my projects that's related to financial engineering. Excited to share soon!
Languages: [ Python, C/ C++, Java, JavaScript/TypeScript, R, SQL ]
ML/ AI:
Frameworks: [ TensorFlow, PyTorch, scikit-learn, LightAutoML ]
Computer Vision: [ YOLO, InsightFace, OpenCV, MediaPipe ]
NLP: [ LLMs, Transformers, NLP pipelines ]
Tools: [ Pandas, NumPy, Jupyter, Matplotlib, Tableau ]
Quantitative Finance:
Modeling: [ Time-series forecasting, Statistical modeling, Predictive analytics ]
Trading: [ Backtesting, Strategy simulation ]
Risk: [ Risk metrics, Performance evaluation ]
Data: [ Financial data analysis, Feature engineering ]
Frontend:
Stack: [ React, Tailwind CSS]
Backend:
Frameworks: [ Spring Boot, FastAPI, Flask ]
Databases: [ PostgreSQL, MySQL, Redis, SQLite ]
Cloud_and_Infra:
Platforms: [ AWS, GCP ]
Containers: [ Docker, Kubernetes ]
CI/CD: [ GitHub Actions, Maven, Gradle ]
IAC: [ Terraform ]
Messaging/Streaming: [ Kafka, WebSockets ]
Caching: [ Redis ]
Architecture: [ Event-driven systems, Microservices, REST APIs ]


