SECURE CONNECTION
GEN-AI INTEGRATION

Senior Python Developer
Backend & AI Integration Specialist

Auroville, Tamil Nadu, India +91 8525055538 prabaharan.nagappan@gmail.com n-prabaharan

Neural Summary

Results-driven Senior Python Developer with 6+ years of experience architecting scalable backend systems, cloud-native REST APIs, and enterprise-grade automation frameworks. Expert in FastAPI and Flask, with deep AWS/GCP infrastructure knowledge and a growing specialisation in Generative AI integration — building LLM-powered applications, RAG pipelines, and intelligent automation workflows using LangChain, OpenAI, and vector databases. Proven track record of cutting release cycles by up to 50%, reducing manual testing effort by 60%, and driving consistent performance improvements across production environments.

Python Core
GenAI/LLM
Cloud Native

Core Arsenal

Languages: Python, C#, SQL
Frameworks: FastAPI, Flask, Flask-RESTful
Generative AI & LLM: LangChain, LlamaIndex, OpenAI API, Anthropic API, RAG Pipelines, Vector DB (Pinecone, ChromaDB), Prompt Engineering
AWS: Lambda, S3, EC2, API Gateway, EMR, CloudFormation, RDS
GCP: BigQuery, Compute Engine
Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Snowflake
Testing: Pytest, Selenium, Appium, Automation, Regression
Data & ML: Pandas, NumPy, BeautifulSoup, NLTK, TensorFlow
DevOps: Git, Docker, CI/CD, Infrastructure as Code

Mission Logs · Experience

Senior Software Developer

Sacha (Client: Ford Motor Company) | Apr 2025 - Mar 2026

  • Engineered CRTS (Combined Regression Tool Script) in Python, cutting manual regression effort by 60% and regression cycles from days to hours.
  • Expanded automated regression coverage by 40% and implemented workflows driving 30% faster release frequency.
  • Built C# Validator Tool for data/business logic validation, reducing validation errors by 50%.
  • Collaborated with QA, developers, and product owners on root-cause analysis and stable production releases.

Software Developer

Ramsol (Client: Lennox India Technology Centre) | Mar 2024 - Mar 2025

  • Designed mobile automation frameworks in Python with Selenium and Appium, eliminating 45% of manual QA effort.
  • Built and maintained regression suites with 80%+ coverage across critical HVAC application flows.
  • Optimized automation scripts for 35% faster execution and faster developer feedback loops.

Lead Software Engineer

Meyi Cloud | Apr 2023 - Nov 2023

  • Led backend development of Plant365 dispatch platform, increasing order throughput by 40%.
  • Implemented scalable REST APIs with FastAPI and AWS (Lambda, API Gateway, EC2).
  • Optimized PostgreSQL queries and indexing for 30% improved response times.
  • Built CI/CD pipelines that cut deployment time by 50% and improved reliability.

Software Engineer

C3STREAM Land Designs | Oct 2021 - Mar 2023

  • Developed and maintained Python Flask full-stack web applications.
  • Designed and executed structured test plans for Aura Semiconductor projects.
  • Provided training and mentorship for STEM education programs.

Python Developer

Yuvabe (Client: Quilt.AI) | Dec 2019 - Sep 2021

  • Built FastAPI backend APIs for AI-generated brand concept products, full-stack scalability and latency improvements.
  • Engineered web scraping pipelines (BeautifulSoup, Selenium) collecting 1M+ data points monthly across 10+ markets.
  • Developed NLP pipelines with NLTK, integrated TensorFlow models for classification, improving relevance by 35%.
  • Architected ETL solutions with BigQuery, MySQL, MongoDB for sub-second analytics performance.

Core Construct · Education

Bachelor of Engineering (BE), Electronics and Communication Engineering
Sri Aravindar Engineering College | 2014 - 2018

Higher Secondary Education, Computer Science
Seventh Day Adventist Higher Secondary School | 2012 - 2014

Certifications · Neural Imprint

  • Data Analysis with Python: Zero to Pandas – Jovian
  • Crash Course on Python – Google
  • AWS S3 Basics – Coursera
  • Troubleshooting and Debugging Techniques – Google
  • Using Python to Interact with the Operating System – Google
  • Build a Face Recognition Application using Python – GUVI Geek Networks, IITM Research Park

Strategic Achievements

  • Led Plant365 backend, improving efficiency by 25%.
  • Automated testing at Lennox, reducing effort by 40%.
  • Built scalable APIs at Quilt.AI handling 1M+ data points monthly.
  • Reduced regression cycles from days to hours (Ford project).
  • Engineered RAG pipelines & LLM integrations for intelligent automation.

Uplink · Contact

prabaharan.nagappan@gmail.com  |  linkedin.com/in/n-prabaharan/

Download Full Resume (PDF) · ATS Optimized