Hi, I’m Hari Hara Sudhan, an AI Engineer based in Bangalore with over 7.5 years of experience building and deploying ML models and Generative AI solutions. I specialize in AWS SageMaker and Bedrock, Python, and delivering impactful AI solutions for business challenges. I enjoy collaborating with cross-functional teams to design scalable AI layers and ML pipelines, and I’m always eager to learn and apply new AI technologies to real-world problems. My approach combines hands-on engineering with a focus on delivering production-ready solutions that drive measurable value.

Hari Hara Sudhan N

Hi, I’m Hari Hara Sudhan, an AI Engineer based in Bangalore with over 7.5 years of experience building and deploying ML models and Generative AI solutions. I specialize in AWS SageMaker and Bedrock, Python, and delivering impactful AI solutions for business challenges. I enjoy collaborating with cross-functional teams to design scalable AI layers and ML pipelines, and I’m always eager to learn and apply new AI technologies to real-world problems. My approach combines hands-on engineering with a focus on delivering production-ready solutions that drive measurable value.

Available to hire

Hi, I’m Hari Hara Sudhan, an AI Engineer based in Bangalore with over 7.5 years of experience building and deploying ML models and Generative AI solutions. I specialize in AWS SageMaker and Bedrock, Python, and delivering impactful AI solutions for business challenges.

I enjoy collaborating with cross-functional teams to design scalable AI layers and ML pipelines, and I’m always eager to learn and apply new AI technologies to real-world problems. My approach combines hands-on engineering with a focus on delivering production-ready solutions that drive measurable value.

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Work Experience

AI Engineer at TechTorch (Client: Waystone)
October 1, 2015 - Present
Led extraction optimization for large-size Fund Setup PDFs (>200K tokens) using AWS Bedrock with Anthropic Claude 4.5, reducing extraction time from 42 minutes to 9.5 minutes via concurrent OCR. Dynamically adjusted Max_Token to improve Bedrock performance and prevent rate-limit/token errors; liaised with AWS to increase token limit from 200K to 1M for single LLM calls. Served as single point of contact for the AI layer in the Fund_Setup project.
GenAI / LLM Engineer at Commonwealth Bank of Australia
April 1, 2024 - October 1, 2025
Built a Retrieval Augmented Generation (RAG) app using LangChain, FAISS, Bedrock Anthropic, and Cohere Text Embedding for GenAI comprehensive guides. Implemented HR Policy RAG with a Streamlit UI and a Model Validation GenAI app for Data Quality, EDA, and feature design. Implemented MLOps pipelines in SageMaker for credit risk model deployment.
Senior ML/LLM Engineer at Cognizant
November 1, 2023 - April 1, 2024
Built PDF contract document legal gap analysis using AWS Bedrock, Anthropic Claude Sonnet, Textract, and PyPDF; frontend UI via Streamlit and one-click production deployment. Deployed a Yield Prediction model using SageMaker and constructed IaC for database migration using CloudFormation.
Machine Learning Engineer at ITILITE
September 1, 2022 - October 1, 2023
POC using HuggingFace LLMs (BERT & Llama) for interaction with Word/TXT documents. Built a data pipeline for analytics dashboards using AWS Lambda and CDK (Python). Developed API for business hotel and flight booking features.
SDE I – Data Science Team at FPS Innovation Labs
September 1, 2021 - August 1, 2022
Performed NLP/text analysis on social media data to enhance customer experience via a Flask web application. Migrated PL/pgSQL stored procedures from MySQL to DBT for Redshift and built an ecommerce data pipeline using DBT, Airflow, AWS, and RedShift.
Data Science Developer at EMIS Health
November 1, 2019 - September 1, 2021
Conducted EDA to derive insights for flagship projects using Python (NumPy, Pandas, Matplotlib). Collaborated with product and engineering managers to analyze resource allocation, and migrated the allocation datastore to ServiceNow with end-to-end visualization.
Data Science Associate (NLP) at Amazon India
August 1, 2018 - September 1, 2019
Created, curated, and annotated data to help develop, test, and train Alexa AI. Improved Alexa Shopping Goal Success Rate from 65% to 92% by analyzing US voice shopping patterns.

Education

B.E (ECE) at Kongu Engineering College (Anna University)
January 1, 2010 - January 1, 2014

Qualifications

AWS Machine Learning Specialty
August 1, 2024 - February 28, 2026
AWS AI Practitioner
January 1, 2015 - February 28, 2026
AWS Solution Architect Associate
September 1, 2023 - February 28, 2026
AWS Cloud Practitioner
June 1, 2023 - February 28, 2026

Industry Experience

Software & Internet, Financial Services, Professional Services