Sankeerthana Verneni

Software Engineer — Backend & Distributed Systems

Hyderabad, India 1+ yrs exp 72 · Very Good

About

Software Engineer focused on Java, Spring Boot, backend systems, and distributed computing. Built and load-tested asynchronous services using Kafka, Redis, and PostgreSQL, with 700+ DSA problems solved. B.Tech graduate in AI/ML with hands-on experience building and deploying AI-driven backend pipelines.

Skills & Expertise (26)

Python Intermediate

7.4/10

Years Exp

Java Intermediate

5.5/10

Years Exp

REST APIs Intermediate

5.5/10

Years Exp

Docker Intermediate

5.5/10

Years Exp

Distributed Systems Intermediate

5.0/10

Years Exp

Computer Networks Intermediate

5.0/10

Years Exp

Operating systems Intermediate

5.0/10

Years Exp

Object-Oriented Programming Intermediate

5.0/10

Years Exp

Data Structures & Algorithms Intermediate

5.0/10

Years Exp

LangGraph Intermediate

5.0/10

Years Exp

LangChain Intermediate

5.0/10

Years Exp

LLMs Intermediate

5.0/10

Years Exp

scikit-learn Intermediate

5.0/10

Years Exp

PyTorch Intermediate

5.0/10

Years Exp

Git Intermediate

5.0/10

Years Exp

LINUX Intermediate

5.0/10

Years Exp

MySql Intermediate

5.0/10

Years Exp

Postgresql Intermediate

5.0/10

Years Exp

SQL Intermediate

5.0/10

Years Exp

Azure Beginner

4.5/10

Years Exp

Spring Boot Beginner

4.5/10

Years Exp

Kubernetes Beginner

4.0/10

Years Exp

WebSockets Beginner

4.0/10

Years Exp

Redis Beginner

4.0/10

Years Exp

Kafka Beginner

4.0/10

Years Exp

C++ Beginner

4.0/10

Years Exp

Work Experience

Data Mining Intern

GAO Tek

Sep 2026 - Present

Build and validate B2B lead datasets using Apollo, applying industry and geography filters, then verifying records and removing duplicates before export. Process and deliver structured CSV datasets on a daily cycle, maintaining a shared tracker and reporting data-quality metrics to the team manager.

AI Developer

OxiQ AI

Jul 2026 - Present

Built a caching layer for classification lookups — a sorted-key/hash index with disk persistence — cutting latency from ~3.5–4s to under 1ms on cache hits, per execution-log measurements. Own a multi-agent company-research pipeline (LangGraph, LangChain) that routes each request across 9 business domains and grounds answers in live web search via the Tavily API. Added schema validation on the extraction layer so all 6 business-intelligence fields per company come out consistent for whatever consumes them downstream.

Research & ML Intern

NIT Andhra Pradesh

May 2025 - Mar 2026

Built and evaluated two computer-vision systems in Python: implemented a few-shot image classifier (Prototypical Networks/metric learning) and a multi-label medical-image pipeline, benchmarking 6 CNN backbones against a Graph Convolutional Network. Engineered the evaluation infrastructure for the pipeline — ROC, precision-recall, F1, and Kappa scoring — to compare models consistently across experiment runs.