Venkata Dhathri Anuhya Devarampati
Hyderabad, Telanagana • d**********@gmail.com • 784****894 • linkedin.com/••••• • drivetube.ai/•••••
Career Objective
Motivated Computer Science graduate with skills in Python, SQL, Flask, backend development, and AI. Seeking an entry-level Software/Backend Engineer role where I can apply my technical knowledge, solve real-world problems, contribute to innovative products, and grow as a software professional.
Education
Marri Laxman Reddy Institute of Technology and Management
Bachelor of Technology • Hyderabad • Nov 2022 – Apr 2026
Technical Skills
Programming Languages: Python,Java
Web Technologies: HTML,CSS,JavaScript,Flask,ASP.NET MVC
Databases: MySQL
AI / Machine Learning: Artificial Intelligence,Machine Learning,Generative AI,Retrieval-Augmented Generation (RAG),LangGraph,Google Gemini API,Prompt Engineering,Sentence Transformers,Semantic Search,Promptfoo,LLMs,CI/CD
Cloud & Platforms: Google Cloud Platform (GCP),Git,GitHub,Visual Studio Code,Streamlit,Microsoft Visual Studio
Backend Development: Backend Development,REST API Development,ETL,API Integration
Tools: VS Code,Git,GitHub,MS Office Suite,Docker
Core Computer Science: Object-Oriented Programming (OOP),Data Structures,SQL,Database Management System (DBMS)
Projects
AI Agent for Operational Risks and Performance Metrics | Jul 2025 – Feb 2026
Tools Used: Python, Flask, Google Gemini API, ETL, MySQL, GCP
- Developed an AI agent to monitor operational risks and track real-time performance metrics from multiple data sources.
- Built ETL pipelines to process operational data and identify anomalies using machine learning techniques.
- Generated automated alerts, dashboards, and actionable insights to improve operational efficiency.
- Improved risk prediction and performance monitoring through AI-driven analytics.
Self-Healing RAG AI Assistant Using LangGraph | Jun 2026 – Jul 2026
Tools Used: Python, LangGraph, Google Gemini API, ChromaDB, Sentence Transformers, Streamlit, GitHub
- Developed a Self-Healing Retrieval-Augmented Generation (RAG) assistant for document-based question answering.
- Implemented semantic search, AI-based answer validation, and automatic query rewriting to improve response accuracy.
- Integrated ChromaDB and Sentence Transformers for efficient document retrieval.
- Built an interactive Streamlit application and managed version control using Git and GitHub.
Monitoring System for Classroom Session in Skill Training Program | Dec 2024 – Feb 2025
Tools Used: HTML, CSS, JavaScript
- Designed a responsive web interface to monitor classroom attendance and training progress.
- Displayed real-time classroom information for trainers through dashboards.
- Improved classroom monitoring with an easy-to-use web application.
AI Prompt Evaluation Security Validation Pipeline | Jun 2026 – Jul 2026
Tools Used: Python, Promptfoo, Google Gemini API, GitHub Actions
- Built an automated LLM evaluation pipeline for AI prompt validation and security testing.
- Created adversarial test cases to detect prompt injection and prevent system prompt leakage.
- Integrated CI/CD workflows for automated testing and evaluation.
Certifications
AWS AI/ML — AICTE • Mar 2025
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