Navaneetha CSR

Backend Developer

Alleppey, India 1+ yrs exp 63 · Good

About

No bio added yet

Skills & Expertise (22)

Python Advanced

8.1/10

Years Exp

NestJS Intermediate

7.5/10

Years Exp

FastAPI Intermediate

7.5/10

Years Exp

Node.js Intermediate

7.5/10

Years Exp

Postgresql Intermediate

7.0/10

Years Exp

PyTorch Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Django Intermediate

6.5/10

Years Exp

MongoDb Intermediate

6.5/10

Years Exp

Docker Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

TensorFlow Intermediate

6.0/10

Years Exp

GitHub Actions Intermediate

6.0/10

Years Exp

Firebase Intermediate

5.5/10

Years Exp

Hugging Face Transformers Intermediate

5.5/10

Years Exp

OpenAI API Intermediate

5.5/10

Years Exp

Railway SQLite React.js Typescript JavaScript SQL

Work Experience

Backend Developer

Creativity Ventures

May 2026 - Present

Designed and developed 15+ RESTful APIs. Architected the full NestJS backend from scratch — defining project structure, PostgreSQL schema, and API layer — delivering a production-ready foundation for AI-assisted lead and user management workflows. Built a layered security system covering JWT authentication, role-based access control, PII masking, and profanity-filter middleware — enforcing permission-driven access across 10+ endpoints for 3 user roles. Implemented real-time bidirectional messaging using Socket.IO — built event-driven APIs and optimised socket performance to support concurrent user connections across the platform. Set up a Python-based AI service and scraping architecture integrated with the NestJS backend, building the end-to-end AI workflow structure powering AI-assisted features in the lead pipeline. Improved backend performance through Redis caching, database query optimisation, and a structured logging system — reducing redundant database hits and improving observability across production endpoints.

Software Developer Intern

Creativity Ventures

Oct 2025 - Apr 2026

Designed and deployed 10+ RESTful APIs using FastAPI and Node.js with MongoDB, enabling end-to-end data exchange for production web applications. Implemented efficient database indexing, query optimization, and caching strategies, reducing average API response time by 25%. Built reusable backend modules and deployed on Railway with environment parity across dev and staging, eliminating deployment inconsistencies and reducing environment-specific bugs.

AI/ML Research Intern

National Institute of Technology

Sep 2024 - Apr 2025

Engineered a scalable knowledge graph pipeline using GPT-4o-mini and Python to generate and manage 10K+ interconnected product entities from e-commerce datasets. Developed heterogeneous graph construction, preprocessing, and feature extraction workflows using PyTorch across three benchmark datasets (Amazon, YelpChi, App Reviews) spanning 7–10 node types per graph, enabling structured misinformation detection across 10K+ product entities. Optimized graph pruning and batch inference pipelines, reducing model inference time by 40% while maintaining prediction quality. Containerised the end-to-end research pipeline — including data preprocessing, GNN training, and batch inference — using Docker, ensuring consistent reproducibility across environments and eliminating manual dependency configuration.

Research Intern

National Institute of Technology

Jun 2024 - Jul 2024

Constructed a custom LLM-generated misinformation dataset of 2,000+ samples using LLaMA 2 (7B & 13B), GPT-3.5 Turbo, and GPT-4 prompting strategies with controlled injection of false claims. Benchmarked classification accuracy across GPT-3.5 Turbo, GPT-4, and LLaMA 2-7B, LLaMA 2-13B; LLaMA achieved the best F1-score of 80%.