Chidananda Ningthoujam

Backend Python Engineer

Bengaluru, India 11+ yrs exp 95 · Outstanding

About

Backend-focused Python engineer building REST services with FastAPI, PostgreSQL, SQLAlchemy and Docker. Ten years deploying and administering production-style infrastructure — multi-node Hadoop and Cassandra clusters, Ethereum test networks and Linux environments — in a university engineering setting. Research background in cryptography, key management and applied machine learning, with two internationally granted patents. Strongest in API design, data modelling and systems-level problem solving.

Skills & Expertise (25)

Python Expert

9.0/10

Years Exp

SQL Advanced

8.5/10

Years Exp

Solidity Advanced

8.0/10

Years Exp

Linux Administration Advanced

8.0/10

Years Exp

REST API design Advanced

8.0/10

Years Exp

GitHub Advanced

8.0/10

Years Exp

Git Advanced

8.0/10

Years Exp

Postgresql Advanced

8.0/10

Years Exp

Cassandra Advanced

8.0/10

Years Exp

Hadoop Advanced

8.0/10

Years Exp

JavaScript Advanced

7.5/10

Years Exp

Docker Advanced

7.5/10

Years Exp

Applied Cryptography Intermediate

7.0/10

Years Exp

MapReduce Intermediate

7.0/10

Years Exp

Vector Databases Intermediate

7.0/10

Years Exp

Schema Design Intermediate

7.0/10

Years Exp

SQLAlchemy ORM Intermediate

7.0/10

Years Exp

JWT Authentication Intermediate

7.0/10

Years Exp

Flask Intermediate

7.0/10

Years Exp

FastAPI Intermediate

7.0/10

Years Exp

Request Validation Intermediate

6.5/10

Years Exp

Pydantic Intermediate

6.5/10

Years Exp

LangChain Intermediate

6.5/10

Years Exp

Retrieval-Augmented Generation Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

Work Experience

Associate Professor, Computer Science

Yenepoya (Deemed to be University)

Oct 2023 - Jul 2026

Deployed and administered multi-node Hadoop and Cassandra clusters and Ethereum/Ganache test networks on Linux, maintaining them as a shared environment used by 100+ concurrent users. Wrote and maintained Python and Solidity codebases used as working reference implementations across Big Data, blockchain, cybersecurity and AI/ML coursework. Supervised student software projects end to end — requirements, system design, implementation, testing and documentation — across backend, blockchain and applied ML work.