Senior Software Engineer | Backend & AI/ML Systems
Python • Django • FastAPI • Distributed Systems • LLMs

I’m a backend-focused software engineer with strong experience in building scalable APIs, AI/ML pipelines, and data-driven platforms. I enjoy taking systems from idea → production, with a focus on performance, reliability, and clean architecture.

• Design and build backend systems using Python, Django, DRF, FastAPI
• Develop ML-powered services and deploy models at scale
• Build asynchronous & event-driven architectures (Celery, Redis, RabbitMQ)
• Work on data-intensive applications (PostgreSQL, MongoDB, OpenSearch)
• Integrate LLMs, RAG pipelines, and AI agents into production systems
• Containerize and deploy services using Docker & AWS

• Production-grade AI & LLM systems (RAGs, Agents, LangChain, LangGraph)
• Backend architecture for high-throughput, low-latency APIs
• Scaling data pipelines for sentiment analysis & financial intelligence
• Writing clean, maintainable, and testable backend code

Languages

• Python, JavaScript, HTML, CSS
• Familiar with Java

Backend & APIs

• Django, Django REST Framework
• FastAPI, Flask

Async & Distributed Systems

• Celery, Redis, RabbitMQ

Databases

• PostgreSQL, MySQL, Oracle
• MongoDB, PL/SQL

AI / Data

• Pandas, Dask, Matplotlib, Seaborn
• LLMs, RAGs, LangChain, LangGraph, Bedrock

Frontend & Visualization

• React, Streamlit, Dash, Bootstrap

DevOps & Infra

• Docker, Docker Swarm
• AWS (EC2, storage, deployment pipelines)

Senior Software Engineer – FinSoftAI
(Jun 2023 – Present)

• Built asynchronous task processing pipelines using Celery & Redis, reducing model inference time by 40%
• Designed REST APIs consumed by React frontends with <300ms latency
• Integrated multiple sentiment sources (Reddit, Bluesky, SEC EDGAR) to improve trading signal accuracy by 30%
• Deployed scalable ML inference systems using Docker & AWS

Software Engineer – Tophire

• Built backend systems using Django, DRF, PostgreSQL, Celery, Redis
• Worked on search, data pipelines, and system optimization

Machine Learning Engineer – Omdena (Part-time)

• Worked on predictive analytics for forest landscape restoration
• Built ML-backed web applications using Django & SQL/MongoDB

Internships

• Samsung Research Institute (Cloud & Databases)
• Ernst & Young (Privacy & Compliance Research)
• BDO (Blockchain Research)

• Employee Churn Prediction – ML model to predict employee attrition
• Candidate Resume Search Engine – Keyword-based semantic search using SQL/MongoDB
• Medical History Management System – Secure patient data platform
• Discussion Board Web App – Django-based community platform

• Open Source Contributor – Mozilla
• Organizer – India Linux User Group (Delhi)
• Organizer – OpenTech Summit, Delhi
• Tech Mentor – IEEE MSIT & GirlScript Summer of Code

• GitHub: github.com/Soumya0803
• LinkedIn: linkedin.com/in/soumya-chopra
• Email: soumyachopra@gmail.com

⭐ Always interested in backend, AI, and system design discussions
⭐ Open to impactful engineering roles and collaborations