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Yashas Gowda NYN
Looking for a job

Yashas Gowda N

@yashasgowdan

AI/ML student building a 60M-row options research pipeline and production LLM/RAG systems.

India
Message

What I'm looking for

I’m interested in ML and LLM research for software engineering at scale.

I led engineering for Market Momentum Radar, a research pipeline processing 60M+ rows of NSE F&O data. Its five pre-registered modeling stages included placebo and leakage controls, with the best result showing partial IC +0.14.

I’ve evolved an independent PyTorch weather-forecasting system through six generations, and built the FastAPI and PostgreSQL backend for ServiceGrid, a field-service platform used daily by an 8-person business. I’m interested in ML and LLM research for software engineering at scale.

Experience

Work history, roles, and key accomplishments

SE
Current

Full-Stack Developer

ServiceGrid

Sep 2026 - Present (1 month)

Built and deployed a production field-service platform used daily by an 8-person business. Developed FastAPI/PostgreSQL backend with React Native client, including offline-first sync, role-based access control, and CI/CD.

MR
Current

Research Engineering Lead

Market Momentum Radar

Jan 2026 - Present (9 months)

Led a team of four in building a Python research pipeline for institutional flow detection, ingesting 60M+ rows of NSE F&O data into PostgreSQL. Implemented five pre-registered modeling stages with placebo controls, achieving a partial IC of +0.14.

RF
Current

Independent Research Project

Regional Weather Forecasting

Jan 2024 - Present (2 years 9 months)

Developed a PyTorch weather-forecasting system through six generations, evolving from GraphCast+MAML to an ultra-scaled STGCN+LSTM with 835K parameters. Achieved best-region MSE of 0.186 and documented results in an IEEE-format paper.

Education

Degrees, certifications, and relevant coursework

BT

BGS College of Engineering and Technology

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2023 -

Grade: 9.03/10

Pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning with a CGPA of 9.03/10.

BC

BASE PU College

Pre-University (PUC), Science

2020 - 2022

Grade: 85.33%

Completed Pre-University (PUC) in Science with 85.33%.

ES

Embassy Public School

Secondary School (Class 10), General

Grade: 94%

Completed Secondary School (Class 10) with 94%.

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