S
Sailakshmi Pattysapu
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GenAI / Agentic AI Developer
Visakhapatnam, Andhra Pradesh, India
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Résumé
Jobs
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Generative AI Engineer InternNexturnDec 2025 - Current (9 months)• Designed and deployed agentic AI systems using LangChain, LangGraph, and LlamaIndex, enabling autonomous planning, reasoning, and tool/function calling across real-world automation tasks. • Built end-to-end RAG pipelines with FAISS and ChromaDB, covering document chunking, embeddings, semantic search, and grounded response generation to improve retrieval accuracy. • Developed and orchestrated multi-agent workflows using LangGraph's graph-based execution model, including MCP-based AI assistants for healthcare, travel planning, and data analytics domains. • Implemented guardrail and evaluation logic (including LLM-as-judge faithfulness checks) to reduce hallucinations and support safe, grounded outputs. • Monitored, traced, and debugged LLM
Education
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- Cyber Security: Ccna OpsCiscoJan 2025
- APython InternshipApscheJan 2025
- Networking & Cloud ComputingCiscoJan 2025
- M.Tech in Computer Science & Engineering (GenAI & Agentic AI)JNTU KakinadaJan 2023 - Jan 2025 (2 years 1 month)CGPA: 9.1
- B.Tech in Information TechnologyAndhra UniversityJan 2020 - Jan 2023 (3 years 1 month)CGPA: 7.72
- GDiploma in Computer EngineeringGovt. Polytechnic for Women, SrikakulamJan 2017 - Jan 2020 (3 years 1 month)CGPA: 8.45
Projects (professional or personal)
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- Ai-Sql CopilotIndependentJan 2025• Developed a natural-language-to-SQL system using RAG and LLMs, enabling non-technical users to query databases in plain English with high accuracy.
- Transformer-Based Sentiment Analysis (M.Tech Project)JNTU KakinadaJan 2025• Applied transformer-based NLP models for sentiment analysis on restaurant-domain data using Hugging Face frameworks.
- Energy Consumption ForecastingIndependentJan 2025• Built time-series forecasting models using LSTM to predict energy consumption patterns with improved prediction accuracy.
- Malicious Url DetectionIndependentJan 2025• Trained and deployed an ML classification model for malicious URL detection with a Streamlit front end for real-time predictions.
- Multi-Agent Trip Planner (LangGraph)IndependentJan 2025• Built a multi-agent architecture with specialized agents orchestrated via LangGraph's Pregel/BSP execution model, integrating real-world travel data for end-to-end itinerary planning. • Added a Streamlit front-end, a four-layer guardrail system for input/output safety, and an LLM-as-judge faithfulness evaluator to score response groundedness. • Packaged the system as a deployable application, applying reusable prompt templates and structured output validation.
- Crop Recommendation System (Team Lead)IndependentJan 2025• Led a team from design to deployment of an ML-based crop recommendation system, coordinating requirements, model development, and delivery.