Software Engineer (ex-IBM) • MSc Data Science @ University of Bristol
Backend • Systems • Full-Stack • Applied ML

I’m a software engineer with experience building distributed systems, secure C++ agents, backend services, and cloud-deployed machine learning pipelines.

I enjoy working across the stack — from low-level systems and networking to Python APIs, DevOps, and applied ML — with a strong focus on correctness, clarity, and maintainability.

A personal fitness tracking application focused on simplicity and consistency.

• FastAPI backend with REST APIs
• React-based frontend (PWA)
• Workout and meal logging
• Offline support via service workers
• Experimental ML-based food / nutrition estimation (in progress)

📌 Repo: https://github.com/rohan2107/gym-bro

A Windows posture and compliance agent.

• osquery-based posture checks
• SQL + Lua evaluation engine
• Policy versioning and local persistence
• Secure MQTT communication (TLS / mTLS)
• SHA-256 deduplication
• SQLite-backed storage

📌 Repo: https://github.com/rohan2107/Sentinel

An end-to-end machine learning service exposed via a REST API.

• Isolation Forest–based anomaly detection
• Feature preprocessing and evaluation
• FastAPI /predict endpoint
• Dockerised deployment

📌 Repo: https://github.com/rohan2107/fraud-detection

Languages
C++, Python, Java, Go, SQL

Backend & Systems
FastAPI, REST, OpenAPI, MQTT, Kafka, TLS/mTLS, SQLModel

AI / ML
scikit-learn, Pandas, NumPy, Random Forests, Elastic Net, cross-validation

Cloud & DevOps
Docker, Kubernetes, AWS (EC2, ASG, SQS, S3), GitHub Actions, Jenkins

Databases
PostgreSQL, SQLite

Other Tools
osquery, Lua, Git, R (tidyverse, caret)

• Built secure C++ communication modules for a Windows agent, improving throughput by ~30%
• Designed a SQL + Lua posture evaluation engine used across 10k+ devices
• Developed Java and Go microservices, including a Kubernetes Operator
• Automated CI/CD pipelines (Jenkins, GitHub Actions), reducing deployment time by ~40%

• Worked on Java / Node.js microservices for billing and orchestration
• Implemented scheduled jobs and authored Swagger / OpenAPI documentation

MSc Data Science — University of Bristol (2025–2026)

• Built ML pipelines in R (Elastic Net + tuned Random Forest, F1 = 0.787)
• Deployed an AWS micro-application using an SQS-driven Auto Scaling Group

B.Tech, Electronics & Communication Engineering — MIT Manipal (2023)

• LinkedIn: https://linkedin.com/in/rohan-anthony-9b03bb210
• GitHub: https://github.com/rohan2107
• Email: rohan.anthony2107@gmail.com