Software engineer · Bengaluru, India
Backend systems. Cloud infrastructure. Applied ML.
I build with Java and Python, from database-backed APIs to cloud deployment workflows. Currently working on payments risk and alerting at Airbnb, contracted via Altimetrik.
01 / About
I’m a software engineer with experience at Airbnb via Altimetrik, Oracle, and IIT Ropar. My focus is backend development: APIs, authentication, request validation, persistence, and caching.
My work also spans Kubernetes deployment tooling and applied machine learning. I enjoy connecting the details of a system with the way people use and operate it.
B.Tech, Computer Science and Engineering
National Institute of Technology Patna · 2022–2026
02 / Experience
Payments systems, cloud infrastructure, and student-facing software.
Airbnb Contracted via Altimetrik
Payments Risk and Alerting
Oracle
Cloud Native SBC
IIT Ropar
Full Stack and AI-Enabled Systems
03 / Selected projects
Independent projects in backend systems and applied machine learning.
A modular Java engine for account management and money movement, with authenticated HTTP APIs and asynchronous transaction execution.
Built around a Bank aggregate with account factories, observers, and repository abstractions. A queue and executor coordinate asynchronous transactions.
Pluggable JDBC and in-memory persistence, SQL migrations, and two TTL cache scopes support account snapshots and derived balances. Token-secured APIs expose health, metrics, accounts, and transaction queuing.
An end-to-end Python pipeline for DE-LU day-ahead power prices, from public data ingestion and quality checks to model validation and reporting.
Energy-Charts ingestion, JSON caching, UTC/DST-safe cleaning, feature engineering, and automated reports form a reproducible pipeline.
Ridge and HistGradient Boosting models use lagged price, weather, and load features. Evaluation uses a fixed 2025 out-of-sample window; Groq and OpenAI APIs support logged, controlled QA.
Federated intrusion detection: collaborative model training with differential privacy, without centralizing raw network traffic.
View repositoryA Java simulation exploring DNS hierarchy, recursive and iterative resolution, TTL caching, and DNSSEC concepts.
Models root, TLD, and authoritative lookups, cache hit and miss behavior, negative caching, routing, and a signing and verification chain.
04 / Toolkit
Java, Python, JavaScript, SQL, C, Bash, XML
REST / HTTP APIs, Node.js, Express, FastAPI, JWT, RBAC, request validation, MySQL, MongoDB, JDBC, SQL migrations, TTL caching
Docker, Kubernetes, OpenShift, Helm, KEDA, Prometheus, Thanos, Linux, Git, CI/CD
Data structures and algorithms, OOP, DBMS, operating systems, computer networks, multithreading, system design, low-level design
Also worked with React, HTML, CSS, Tailwind CSS, Pandas, and Scikit-learn.
05 / Education & achievements
B.Tech in Computer Science and Engineering
9.72 / 10 CGPA
Top 5.5% globally · peak rating 1864
Rating 1736 · rank 87 in Challenge 197
Authored Java solutions for the competitive programming guide
NGO platform for patient tracking, attendance, care allocation, and SMS alerts
National scholarship for academic excellence
06 / Get in touch
For engineering opportunities, project discussions, or a conversation about the work.
abhinavranjan.dev@gmail.com