Raghu

Data Scientist

https://www.opentalent.in/raghu-3

Lead Gen AI Engineer

Wells Fargo

Key Strengths

Extensive personal project experience in Deep Learning, Recommender Systems, and LLM/Agent development.
Demonstrated proficiency with Python, Jupyter Notebook, and various AI/ML frameworks.
Experience with MLOps concepts, including Docker, FastAPI deployment, and cloud platforms (AWS, GCP, Azure) through personal projects.
Current role as a Data Scientist at Wells Fargo, indicating professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong passion for AI/ML through numerous personal projects, indicating a proactive and self-driven learning approach. The diversity of projects, from deep learning specializations to multi-agent systems and datathon solutions, suggests a broad interest within the data science domain. However, the lack of team-based project descriptions or collaborative work details makes it difficult to fully assess cultural fit beyond individual drive.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

RAG-Multi-Agent-Systems-LangGraph-and-FastAPI

May 16, 2026 – Present

Repo covers LangChain , LangGraph, RAG pipelines, multi-agent orchestration, security, testing, LangSmith observability, FastAPI deployment, and Docker.

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ai-engineer-mlops-llm-agents-production

April 23, 2026 – Present

Hands-on AI Engineer Production Track: deploy LLMs and agents with RAG, AWS Bedrock, SageMaker, MCP, and observability across AWS, GCP, Azure, and Vercel.

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LangGraph-and-Ollama

March 28, 2026 – Present

LangGraph

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Langchain-and-Ollama

March 20, 2026 – Present

Master Langchain V1

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AI-Agent-Developer-Specialization

March 15, 2026 – Present

Master Skills of an AI Agent Software Developer. Learn to design, build, and refine intelligent software agents using Python, generative AI, and agentic architectures for real-world applications

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WiDS-Datathon-2025-4th-place-solution

May 13, 2025 – May 13, 2025

Top 4 Winning Solution for WiDS Datathon 2025

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Building_Recommender_Systems_with_ML_AI

April 29, 2020 – April 29, 2020

Building Recommender Systems with Machine Learning and AI

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wfpdisrel

March 6, 2020 – May 14, 2020

wfpdisrel — GitHub repository

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Deep-Learning-Specialization-Coursera

September 7, 2019 – October 22, 2019

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

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Try-various-CNN-networks-on-MNIST-dataset

August 31, 2019 – August 31, 2019

This repo demonstrates the result of applying various CNN networks on the MNIST dataset.

View Project

Key Strengths

Extensive personal project experience in Deep Learning, Recommender Systems, and LLM/Agent development.
Demonstrated proficiency with Python, Jupyter Notebook, and various AI/ML frameworks.
Experience with MLOps concepts, including Docker, FastAPI deployment, and cloud platforms (AWS, GCP, Azure) through personal projects.
Current role as a Data Scientist at Wells Fargo, indicating professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Raghu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit