Summary
Overview
Work History
Skills
Websites
Projects
Timeline
Generic
GUDEPU CHANDRA SEKHAR

GUDEPU CHANDRA SEKHAR

Hyderabad

Summary

Machine Learning Engineer with 3 years of experience designing and deploying AI solutions across security, automation, and data integration. Skilled in building end-to-end ML systems, LLM-powered agents, and RAG pipelines. Proven ability to deliver impactful projects, including no-code AI agent platforms, automated incident management, and ML-based data mapping, driving significant efficiency and scalability.

Overview

3
3
years of professional experience

Work History

Data Science Engineer

NetEnrich Technologies Pvt Ltd
Hyderabad
01.2023 - Current
  • Successfully reduced the incident initiation time by 75% by automating ticket creation, team coordination, and incident updates using LLM-driven AI Agents.
  • Replaced the manual work of 15 FTEs by developing intelligent AI Agents to handle incident validation and triage across customer environments.
  • Cut incident analysis time from hours to minutes by deploying an AI assistant that analyses 20+ incidents daily and delivers actionable insights to SOC analysts.
  • Developed a no-code AI platform from the ground up, enabling customers to create intelligent agents without coding - successfully onboarded 3 enterprise customers through its extensible tool integration and scalable agent infrastructure.

Skills

  • Languages: Python, SQL
  • Libraries & Tools: Pandas, NumPy, SciPy, Elasticsearch (data storage & retrieval), Redis
  • Classical ML Algorithms & Libraries: Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, Scikit-learn
  • Deep Learning Frameworks & Architectures: PyTorch, Keras, CNNs, LSTMs, Transformers
  • NLP: Hugging Face Transformers, spaCy, BERT, LSTM-based text classifiers, GPT/LLM integration (LangChain, OpenAI Assistants API)
  • Generative AI & Agents: RAG (Retrieval-Augmented Generation), AI Agent frameworks, Multi-agent orchestration
  • Cloud Platforms: Google Cloud Platform (Cloud Run, Vertex AI)
  • Model Deployment & Scaling: Docker, Kubernetes, CI/CD pipelines

Websites

Projects

AgenZ – No-Code AI Agent Studio
Built a no-code platform for creating and deploying custom AI agents (LangChain, FastAPI).

  • Developed dynamic tool integration, delivering 35+ security tools for autonomous, context-aware actions.
  • Implemented RAG pipelines (Elasticsearch vector stores, embeddings) and scalable backend (Redis, session management), enabling real-time performance and onboarding of 3 enterprise customers.

ActOn Analyser – AI Assistant for Security Incidents
Developed an LLM-powered assistant (OpenAI Assistants API, FastAPI) for SOC analysts to explore and analyze ActOns.

  • Integrated 20+ custom tools (MITRE ATT&CK mapping, IoC analysis, alert correlation, entity lookups).
  • Cut incident investigation time from hours to minutes for 20+ daily incidents.

DigitalOps Agent – Incident Management Automation
Created an AI agent integrated with OpsRamp to automate incident triage, validation, and escalation.

  • Executed validation scripts per alert and automated decisions (close, escalate, or reassign).
  • Replaced manual effort of 15 FTEs, improving response time and operational efficiency.

LLM-based Policy Generator – Automated Correlation Rule Builder
Built an LLM-powered system that converts natural language into correlation rules (LLM + CrossEncoder).

  • Automated a manual GUI-based process, boosting analyst productivity while maintaining control over alert correlation logic.

AI Attribute Mapper – Field Mapping Automation
Designed an NLP model for semantic field mapping across AWS, Azure, GCP, OpsRamp, and internal schemas.

  • Eliminated manual mapping, expanded data ingestion capabilities, and improved integration accuracy across environments.

Timeline

Data Science Engineer

NetEnrich Technologies Pvt Ltd
01.2023 - Current

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GUDEPU CHANDRA SEKHAR