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Venkateshwarlu sriramadasu

@venkateshwarlusriram

AI/ML engineer building Machine Learning, Deep Learning, and RAG systems to deliver impactful real-world business solutions.

India

Message

What I'm looking for

I’m looking for a role where I can build AI/ML and Generative AI (RAG) solutions, work on model development and deployment, and deliver measurable business impact using data-driven problem solving.

I’m an AI/ML Engineer with experience in Machine Learning, Deep Learning, Generative AI, and Retrieval-Augmented Generation (RAG) systems. I develop RAG applications using Large Language Models, embeddings, and vector databases, including multi-RAG solutions that retrieve and synthesize information from multiple documents and knowledge sources.

I’ve also strengthened my end-to-end data and model workflow through a Data Science internship, where I performed EDA, data cleaning, feature engineering, and model building with evaluation metrics like Accuracy, Precision, Recall, F1-Score, and ROC-AUC. I enjoy deploying AI solutions through Streamlit/Flask-style apps and building intelligent systems that solve real-world business challenges.

Experience

Work history, roles, and key accomplishments

Current

AI Developer Intern

Current

Pranathi Software Services Pvt. Ltd.

May 2026 - Present (1 month)

Developing Retrieval-Augmented Generation (RAG) applications using large language models, embeddings, and vector databases. Building multi-document RAG systems and implementing document ingestion pipelines with LangChain and LangGraph for agent-based AI workflows.

Retrieval Augmented Generation (RAG)Large Language Models Embeddings Vector Databases Lang Chain LangGraph Data Ingestion PDF Processing Semantic Search

Data Science Intern

Pantech.ai

Dec 2024 - Mar 2025 (3 months)

Performed exploratory data analysis (EDA) and conducted data cleaning, preprocessing, and feature engineering to improve data quality. Built and evaluated multiple machine learning models using scikit-learn with cross-validation and standard classification metrics.

Data Cleaning Feature Engineering Machine Learning scikit learn Pandas NumPy Cross Validation XGBoost