Harshith V
Senior AI Engineer
Bengaluru,Karnataka
Summary
A results-driven IT professional with 4 years of experience in building scalable solutions across Machine Learning, Deep Learning, and Generative AI. Specialized in developing RAG-based applications, vector search systems, and cloud-native deployments using Google Cloud Platform (Vertex AI, Cloud Run, BigQuery). Proven track record in delivering end-to-end AI platforms and data products for enterprise clients across healthcare and finance domains. Passionate about applying emerging AI technologies to solve real-world problems
Overview
4
4
years of professional experience
4
4
Certifications
Work History
Senior Data Analyst
Deutsche Bank Group
Bengaluru
03.2024 - Current
- Built Eden AI , an end-to-end GenAI chat platform using Python, FastAPI, LangChain , and LangGraph , featuring a keyword-driven agentic RAG architecture to process both structured SQL queries and unstructured documents , including natural language to SQL translation and KPI visualization .
- Developed GenAI-powered NFRD (Non-Financial Reporting Directive) automation using semantic search (Qdrant & Chroma) and LLM-based web scraping to extract ESG and regulatory insights from public data, significantly reducing manual effort in compliance reporting.
- Designed and deployed GenAI pipelines in hybrid environments (on-prem & GCP) , integrating with Vertex AI , Cloud Run , API Gateway , and OAuth-secured Deutsche Bank Shared Services to ensure secure, scalable enterprise access.
- Engineered vector-based retrieval workflows using LangChain , Chroma , and Qdrant , enabling highly relevant semantic and keyword-filtered document search for financial data intelligence.
- Engineered cross-platform automation workflows across OpenShift and GCP , deploying containerized GenAI services and scheduling ETL tasks using Apache Airflow to orchestrate data loading, transformation, and model execution pipelines.
Associate Consultant
PwC (PriceWaterhouseCoopers)
10.2021 - 03.2024
- Built GenAI-based assistants for Cardinal Health using LangChain , FastAPI , and PostgreSQL , incorporating text-to-speech and summarization capabilities to enable efficient understanding and voice-accessibility of clinical documents.
- Deployed classification models on Vertex AI (GCP) for healthcare automation, streamlining claim routing and document categorization workflows through scalable ML pipelines. Engineered a centralized
- Data Marketplace platform for Eli Lilly , enabling teams to onboard and consume data products , perform data analysis and visualization , and collaborate on governed datasets through a unified enterprise platform.
- Developed robust backend services using Python , FastAPI , BigQuery , Cloud SQL , and Firebase , supporting REST APIs and workflow orchestration for data and ML use cases.
- Deployed containerized services via Docker and Kubernetes across GCP and OpenShift , automating workloads with Airflow DAGs for data loading, transformation, and scheduled model execution
Education
Bachelor in CSE -
Dayananda Sagar Academy of Technology
Bengaluru08.2021
Skills
- Languages & Frameworks: Python, SQL, Flask, FastAPI
- Vector Databases: Qdrant, ChromaDB
- Cloud & Data Platforms: GCP (GCS, Apigee, Vertex AI, BigQuery, Cloud SQL, Cloud Run)
- ML & MLOps: Machine Learning, Vertex AI, CI/CD, Model Deployment
- GenAI & LLM Tooling: LangChain, LangGraph, LangSmith, Agentic RAG, MCP, Prompt Engineering
Languages & Frameworks: Python, SQL, Flask, Fast API
Certification
GCP - Professional Machine Learning Engineer Certified
Additional Information
Experienced in building neural networks (CNN , RCNN) for Stock price predictions , credit risk analysis.
Built a framework to enhance the low quality images to higher quality using GANs , RNN (LSTMs) Accomplishments Recognized with a certificate for contributions beyond expectations and being a team
Timeline
Senior Data Analyst
Deutsche Bank Group
03.2024 - Current
Associate Consultant
PwC (PriceWaterhouseCoopers)
10.2021 - 03.2024
Bachelor in CSE -
Dayananda Sagar Academy of Technology
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