AI / GENAI ENGINEER · PYTHON BACKEND DEVELOPER

Abburi Sai Karthik.

I build |

Software Developer with 2+ years of experience delivering production RAG systems, GPU-aware AI platforms, Python microservices, and Kubernetes infrastructure. I turn ML prototypes and backend requirements into reliable, measurable systems.

15+ microservices 25% retrieval gain <200ms telemetry
See My Impact View Resume
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About Me

Get to know me.

Abburi Sai Karthik

AI systems on top. Production engineering underneath.

I'm a Software Developer at CorespanSystems, Hyderabad, building across the AI and backend stack: RAG assistants, GPU benchmarking platforms, Django gateways, high-concurrency Flask services, and Kubernetes deployments. I focus on the engineering work that makes AI useful in production: retrieval quality, observability, access control, scalable APIs, and dependable infrastructure.

I graduated with a B.Tech in Computer Science and Artificial Intelligence from Amrita Vishwa Vidyapeetham, Kerala, with a CGPA of 8.7/10. I've published research at IEEE conferences and am AWS Certified. My strongest fit is with teams hiring for AI / GenAI engineering, Python backend, AI platform, or MLOps roles.

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Years Building
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Services Routed
0%
Retrieval Gain
Target Roles

Two role paths. One production mindset.

01

Primary track

AI / GenAI Engineer

For teams building RAG, LLM applications, AI platforms, evaluation pipelines, and production ML infrastructure.

  • LangGraph RAG with graph and vector retrieval
  • Kubeflow ingestion and evaluation pipelines
  • vLLM, multi-GPU inference, and HPC benchmarking
RAGLLMsLangGraphKubeflowMLOps
02

Core engineering track

Python Backend Developer

For teams shipping Django, Flask, or FastAPI services, secure APIs, microservices, and cloud-native backend systems.

  • Django gateway routing 15+ services
  • MFA, JWT sessions, RBAC, and schema migrations
  • Sub-200ms Flask telemetry microservice
PythonDjangoFlaskFastAPIREST APIs
Shared foundation

Kubernetes · Docker · PostgreSQL · RabbitMQ · Redis · AWS · CI/CD · Observability

Experience

Where I've worked.

Software Developer
CorespanSystems, Hyderabad
May 2024 — Present
AI PlatformPython BackendKubernetes2+ years
  • API Gateway & RBAC: Engineered a centralized Django reverse proxy routing 15+ microservices and frontend traffic. Built MFA, JWT-based sessions, and granular middleware-driven RBAC; executed zero-downtime schema migrations across 3+ environments.
  • RAG Assistant: Built a LangGraph assistant using Memgraph for graph retrieval and Qdrant for vector search. Deployed automated ingestion and golden-dataset evaluation on Kubeflow, improving retrieval precision by 25%.
  • AI/ML Workbench: Automated HPC benchmarking with Django and vLLM across 10+ training and inference workloads, capturing TTFT, TFLOPs, and GPU utilization. Enabled Kubernetes-based multi-GPU, multi-node execution and improved GPU utilization by 30%.
  • Backend & Observability: Built a high-concurrency Flask telemetry service with sub-200ms UI streaming for 10+ concurrent sessions. Orchestrated jobs with RabbitMQ, persisted results in PostgreSQL, and delivered Grafana/Prometheus monitoring.
AWS Cloud Intern
Swabhav Tech Labs · Remote
Oct 2021 — Dec 2021
AWSServerlessCloud Architecture
  • Serverless Development: Architected and deployed a full-stack serverless application using AWS Lambda, API Gateway, and S3, demonstrating proficiency in cloud-native scaling and cost optimization.
  • Cloud Infrastructure: Leveraged EC2, IAM, and DynamoDB to implement secure, multi-tier architectures following AWS best practices and automated deployment workflows.
Skills

Technologies I work with.

Python Backend

Python Django Flask FastAPI REST APIs Microservices PostgreSQL SQL

GenAI & RAG

RAG LangChain LangGraph vLLM Ollama Qdrant Memgraph PyTorch TensorFlow

MLOps & Platform

Kubeflow Kubernetes Docker RabbitMQ Redis Celery CI/CD Grafana Prometheus

GPU, HPC & Cloud

CUDA Multi-GPU Distributed Training MLPerf HPC Benchmarking AWS (Certified) Ansible
Projects

Proof beyond the resume.

AI / GenAI

RAG Drift Monitor

RAG Pipeline Quality Monitor

An open-source monitoring service that runs scheduled probes against live RAG collections, scores retrieval precision and recall, and detects gradual or sudden drift with Z-score and CUSUM. Includes FastAPI endpoints, Celery scheduling, alerts, reports, CLI tooling, and a dashboard.

Python FastAPI Qdrant Celery Redis
Python Backend

Django Migration Auditor

Published PyPI Package

A reusable Django package that records apply and unapply operations, schema diffs, executor identity, environment, duration, and failures. Generates rollback SQL, adds reporting commands and a read-only admin view, while keeping audit failures isolated from real migrations.

Python Django PostgreSQL
Cloud & Data

Amazon Review Analysis

Cloud Architecture & Big Data

Analyzed large-scale Amazon customer reviews using PySpark on AWS infrastructure. Implemented distributed data processing pipelines for sentiment analysis and review classification, published as an IEEE conference paper at ICCNT, IIT Delhi.

PySpark AWS Python NLP
Applied ML

Network Intrusion Detection

SDN & Machine Learning

Built a network intrusion detection system using the RYU SDN Controller and Mininet. Applied machine learning models for real-time traffic classification and anomaly detection in software-defined networking environments.

Python RYU Mininet ML
Publications

Research behind the engineering.

2023

Examining Amazon Customer Reviews Using PySpark and AWS

ICCNT @ IIT Delhi · IEEE

2024

Image Captioning: Analysing CNN-LSTM and Vision-GPT Models

I2CT, Pune · IEEE

2024

A Study of Landmark-Augmented and Landmark-Free Approaches: Yoga Pose Recognition

IEEE

Contact

Building an AI or Python platform?

I'm open to AI / GenAI Engineer, Python Backend Developer, AI Platform, and MLOps opportunities in Bengaluru, Hyderabad, Chennai, or remote. If your team needs someone who can connect model behavior to production backend systems, let's talk.

abburisaikarthik@gmail.com