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