Open to software engineering roles

Abhinav Ranjan Sulabh NIT Patna · CSE · 2026

Backend systems. Cloud-native delivery. Evidence over adjectives.

Software engineer with Oracle Cloud Native SBC experience, a 9.72/10 CGPA, and documented work across Java backend systems, Kubernetes automation, forecasting pipelines, and privacy-preserving AI.

Best fit
SDE-1 · Backend · Platform
Core stack
Java · Python · Kubernetes
Screening signal
Code + architecture + metrics
portrait.engine
Portrait of Abhinav Ranjan Sulabh
9.72 CGPA / 10 NIT Patna
40% less manual configuration Oracle automation
4 deep technical projects README-backed
1864 peak LeetCode rating Knight · top 5.5%

00 / Shortlist signal

What an HR screen sees in 20 seconds.
What engineers can verify in twenty minutes.

The page is intentionally layered: role fit and outcomes first, implementation decisions and trade-offs one click deeper.

01

Production exposure

Oracle Cloud Native SBC work across backend tooling, secure configuration, autoscaling, and observability.

XML · KEDA · Kubernetes · Prometheus · Thanos
02

Systems depth

Projects go past CRUD into queues, caching, persistence, DNS resolution, cryptographic validation, and failure behavior.

Concurrency · JDBC · TTL cache · DNSSEC
03

Measured engineering

Metrics are tied to their context: production internship impact, fixed out-of-sample evaluation, local benchmark, or simulation.

Impact without inflated claims
04

Clear communication

Architecture notes, setup paths, QA outputs, runbooks, and technical reports make the work reviewable before an interview.

Documentation as engineering evidence

01 / Selected engineering work

Four projects. Four different kinds of technical judgment.

Every project below is backed by a detailed README in the source material.

Applied ML · Energy markets

European Power Fair Value Forecasting

52% lower OOS MAE

A reproducible DE-LU day-ahead forecasting pipeline that treats data quality, temporal validation, uncertainty, and reporting as first-class engineering concerns.

Public dataQA + featuresModel validationFair value
  • Python
  • Pandas
  • Scikit-learn
  • Walk-forward validation
  • LLM-assisted QA
Open engineering brief

Evaluation Fixed 2025 out-of-sample MAE improved from 32.83 to 15.75 EUR/MWh against a seasonal-naive baseline.

Pipeline Raw JSON caching, UTC/DST-safe cleaning, coded QA, feature engineering, blocked validation, and P10/P50/P90 reporting.

AI control LLM-proposed QA rules are filtered, logged, and backed by deterministic checks; code retains authority over the pipeline.

Java · Backend systems

Core Banking Engine

10K+ simulated daily flows

A modular Java banking engine covering account lifecycles, secure APIs, queue-backed transactions, pluggable persistence, migrations, and cache behavior.

JWT APIDomainQueueJDBC + cache
  • Java
  • JDBC
  • MySQL
  • Multithreading
  • Docker Compose
Open engineering brief

Design Layered architecture around a Bank aggregate, three account types, four transaction flows, repositories, observers, and factories.

Runtime Token-secured HTTP endpoints, asynchronous execution using a blocking queue and executor service, health and metrics surfaces.

Benchmark Two TTL cache scopes reduced repeated-read latency by 35% in a controlled local comparison.

View source repository
Federated learning · Security

FED_IIDS

91.03% simulated accuracy

A privacy-preserving intrusion detection framework where heterogeneous clients train collaboratively without sharing raw network traffic.

HospitalFactoryDP-SGDFedAvgGlobal IDS
  • Python
  • Flower
  • TensorFlow Privacy
  • Non-IID data
  • FedAvg
Open engineering brief

Privacy Client-side gradient clipping and Gaussian noise reduce data leakage risk while raw traffic remains local.

Data engineering Correlation filtering and LightGBM ranking reduce 74 features to the strongest 30 inputs.

Result The simulated federated setup reaches 91.03% accuracy, within 1.9% of the centralized baseline.

View source repository
Java · Networking systems

DNS Resolution Engine

10 DNS record types

A runnable Java 17 simulation that maps DNS hierarchy, resolution, caching, routing, and security concepts to concrete classes and execution traces.

RootTLDAuthoritativeTTL cache
  • Java 17
  • Recursive + iterative
  • Anycast
  • Split horizon
  • DNSSEC
Open engineering brief

Resolution Root, TLD, and authoritative hierarchy with recursive and iterative lookup plus cache hit/miss tracking.

Reliability Round robin, anycast failover, TTL trade-offs, negative caching, and split-horizon behavior across eight runnable demos.

Security Real RSA-2048 signing and verification model a KSK-to-ZSK-to-RRSIG DNSSEC chain of trust.

02 / Production experience

Where the work met real users, constraints, and operations.

Outcome-oriented summaries aligned with the single resume included in this portfolio.

Jan 2026 - Present Gurugram, India

Oracle Cloud Native SBC

Cloud Infrastructure and DevOps Intern

  • 40%Manual configuration eliminated through recursive XML parsing, path generation, and schema validation.
  • 25%Idle resource consumption reduced through KEDA-driven Kubernetes autoscaling with Prometheus and Thanos signals.
  • Secure by defaultInput sanitization, defensive error handling, and modular certificate provisioning strengthened multi-environment CLI workflows.
May 2025 - Jul 2025 Remote

IIT Ropar Student support platform

Software Development Intern

  • 300+Students served across five or more departments through recommendation and support workflows.
  • 15% / 20%Higher engagement and lower drop-off after personalized guidance and query-support improvements.
  • 30%Faster ticket-resolution workflows through REST APIs, JWT authentication, RBAC, analytics, and user-management modules.

03 / Engineering range

Enough breadth to collaborate. Enough depth to be questioned.

01

Languages

Java, Python, JavaScript, SQL, C, Bash, XML

02

Backend + data

REST APIs, Node.js, Express, FastAPI, JDBC, MySQL, MongoDB, JWT, RBAC, multithreading

03

Platform

Kubernetes, OpenShift, Docker, Helm, KEDA, Prometheus, Thanos, Linux, CI/CD

04

AI + analytics

Scikit-learn, Pandas, NumPy, forecasting, Flower, DP-SGD, model validation, automated reporting

04 / Credentials

Academic consistency and competitive foundations.

National Institute of Technology Patna

B.Tech in Computer Science and Engineering

9.72 / 10 CGPA · Aug 2022 - May 2026
LeetCode KnightTop 5.5% globally · peak rating 1864 CodeChefRating 1736 · rank 87 in Challenge 197
JPMorgan Chase Code for Good 2025NGO platform for patient tracking, care allocation, attendance, and SMS alerts
Open source + scholarshipUSACO Guide Java contributor · NTSE Scholar

05 / Resume

One resume. One coherent engineering narrative.

A focused, one-page software engineering resume aligned with the experience and projects shown here.

Open resume PDF

Available for SDE opportunities

The fastest next step is a technical conversation.