Experience
1.5 years
Software Engineering
Hi, I'm
Suyash
Software Engineer, moving into ML
I spent 1.5 years working on production trading systems at Accenture. These days I build RAG pipelines and deploy ML models on AWS. Looking for an ML or Data Science role where I can do this full time.
About Me
Education
M.Tech — Information Technology
NSUT,
New Delhi (2025–2027)
I worked at Accenture for a year and a half as an Associate Software Engineer, supporting OpenLink Endur, an energy trading platform used across the European market. Most of my time went into keeping trade flows running and fixing production issues, which taught me how real systems break and how to debug them under pressure.
Right now I'm doing an M.Tech in IT at NSUT, New Delhi and spending my free time on ML projects. I've built a RAG-based document Q&A system and an end-to-end ML pipeline that runs on AWS with MLflow and Docker. I also help run placements at NSUT as a Student Placement Coordinator.
I'm looking for an ML or Data Science role. I know how to write production code, and I want to apply that to shipping models.
Work Experience
Student Placement Coordinator
Candidate screening, data management, and placement communications.
Associate Software Engineer
OpenLink Endur (ETRM) for the Europe market — trade-flow support, production issue resolution, and maintenance.
Backend Developer Intern
Node.js application for large-scale data ingestion from industrial machines.
Teaching Assistant
TA for DSA (Java), Web Development (Node.js), and Advanced Frontend (React).
Skills & Tools
Machine Learning & Data
- Python
- NumPy
- Pandas
- Scikit-learn
- ML Algorithms
- Deep Learning
- LangChain
- RAG
- FAISS
- Sentence-Transformers
- RAGAS
- LLM
MLOps & Deployment
- MLflow
- Docker
- AWS EC2
- AWS ECR
- FastAPI
- Git
- CI/CD
Software Engineering
- Java
- C++
- SQL
- Node.js
- Express
- React
- MongoDB
- DSA
Projects
DocSense · RAG Document Q&A
Ask questions against your own documents and get cited answers. Hybrid retrieval with FAISS and BM25, served through FastAPI, scored with RAGAS.
GitHubPhishing Detection Pipeline
Classifies phishing URLs with a Random Forest model that hits an F1 of 0.97. Every run is tracked in MLflow, and the service ships as a Docker image to AWS EC2 via ECR.
GitHubE-Commerce API
A REST backend for an online store: products, cart, orders and login. Node.js and Express on top of MongoDB.
GitHub