---
title: "Soumyasri Rettagunta - AI/ML Intern — Cybersecurity in Greater Hyderabad Area | Tal"
description: "Meet Soumyasri Rettagunta, AI/ML Engineer | GenAI (LangChain, RAG, LlamaIndex) | Cybersecurity & Threat Detection | Python, TensorFlow based in Greater Hyderabad Area."
image: "https://tal.club/meet/soumyasri/share-image"
---

# Soumyasri Rettagunta on Tal

## Headline

AI/ML Engineer \| GenAI \(LangChain, RAG, LlamaIndex\) \| Cybersecurity & Threat Detection \| Python, TensorFlow

## About

I'm an MCA graduate \(2025\) building AI/ML systems that solve real\-world problems — from cybersecurity threat detection to GenAI\-powered automation\. During my internship at NARL \(National Atmospheric Research Laboratory, an ISRO\-affiliated government research lab\), I applied machine learning to network security — building anomaly detection models with Isolation Forest and attack classification pipelines with XGBoost and SVM to identify threats like DDoS, port scans, and brute\-force attempts in real time\. I've also built end\-to\-end GenAI applications using LangChain, LlamaIndex, and Retrieval\-Augmented Generation \(RAG\) — including a production\-ready invoice automation system that lets non\-technical users query financial data in natural language\. Other projects include a real\-time network threat detection dashboard using raw socket packet capture, and a hybrid CNN \+ SVM pipeline for bone fracture detection from X\-ray images\. Technical toolkit: Python, TensorFlow, Keras, Scikit\-learn, XGBoost, LangChain, LlamaIndex, RAG, NLP, Computer Vision, Streamlit, Git\. Looking for entry\-level AI/ML Engineer or Data Scientist roles where I can build intelligent systems that create real business value\. Open to on\-site, hybrid, and remote opportunities\.

## Location

Greater Hyderabad Area

## Work experience

AI/ML Intern — Cybersecurity at National Atmospheric Research Laboratory, Apr 2026 \- Jun 2026 · 3 mos, Pakala, Worked on real\-world cybersecurity problems applying Machine Learning techniques to detect and classify network\-based threats and anomalous traffic patterns\. \- Developed and evaluated anomaly detection models using Isolation Forest for unsupervised threat scoring, identifying suspicious flows in unlabelled network traffic data\. \- Built supervised attack classification pipelines using XGBoost and SVM, achieving high accuracy in categorising attack types such as DDoS, port scans, and brute\-force attempts\. \- Engineered network flow features from raw packet data \(IP, port, protocol, packet size, flow duration\) and applied preprocessing techniques including MinMax scaling and label encoding for ML readiness\. \- Contributed to research in an ISRO\-affiliated lab environment, gaining exposure to high\-stakes data security requirements and collaborative scientific workflows\.

Salesforce at Salesforce, Oct 2022 \- Nov 2022 · 2 mos, Remote, Completed the official Salesforce Developer internship, earning multiple super badges through hands\-on modules covering Apex, SOQL, Visualforce, and Lightning components\. \- Built and configured automated business workflows using Salesforce Process Builder and Flow, reducing manual CRM data handling tasks\. \- Gained practical experience with SOQL queries, Apex triggers, CRM customisation, role hierarchies, and Salesforce data security models\.

## Education

Master of Computer Applications \- MCA, Computer Science, RCR INSTITUTES OF MANAGEMENT & TECHNOLOGY

[View the original profile](https://tal.club/meet/soumyasri)

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