AWS AI DATA
Available for opportunities
Bengaluru, India
AWS BEDROCK · ML DATA ASSOCIATE II

MADHU CHANDRA R.

AI/ML professional at AWS Bedrock. I train LLMs, build RAG systems, and engineer data pipelines that power next-generation intelligence.

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LLM TRAINING DATA AWS BEDROCK RAG SYSTEMS AGENTIC AI ETL PIPELINES PYTHON SQL QUICKSIGHT GENERATIVE AI MCP PROTOCOL LLM TRAINING DATA AWS BEDROCK RAG SYSTEMS AGENTIC AI ETL PIPELINES PYTHON SQL QUICKSIGHT GENERATIVE AI MCP PROTOCOL
About Me

THE PERSON
BEHIND THE DATA

I'm an AI/ML professional at Amazon Web Services Bedrock, working at the frontier of large language model development. My role involves curating training data, building evaluation pipelines, and contributing to systems that make AI smarter.

I've worked on Agentic AI and MCP initiatives, vector database architecture, and have driven 40% ETL efficiency gains through optimized workflows. Every dataset I touch gets better.

98%
Data Quality Score
40%
Pipeline Efficiency
2.2M
Records Processed
76%
Escalations Reduced
Quick Info
Role ML Data Associate II
Company Amazon Web Services
Location Bengaluru, India
Education B.Tech ECE · Jain University
Focus LLMs · RAG · ETL · GenAI
Certificate OCI GenAI Professional
Interests Paragliding · Badminton · Travel
Status ● Open to Opportunities
Tech Stack

WHAT I WORK WITH

Python
AWS Bedrock
LLM Fine-tuning
RAG
Agentic AI
MCP
SQL
AWS Athena
AWS S3
QuickSight
ETL Pipelines
Vector Databases
Pandas
NumPy
FastAPI
Plotly
Linux
Bash
GenAI
Data Quality
Work History

EXPERIENCE

ML DATA ASSOCIATE II
Amazon Web Services · AWS Bedrock
Nov 2024
Present
↓
  • Processed large-scale datasets from Amazon S3 using AWS Athena and SQL to extract insights
  • Achieved 98% data quality metric, surpassing 95% benchmark through robust validation techniques
  • Improved ETL pipeline efficiency by 40%, reducing latency in downstream workflows
  • Managed diverse datasets used to train LLMs on AWS Bedrock for model training and inference
  • Developed interactive QuickSight dashboards enhancing data visibility and decision-making
IT ANALYST
New Era Technology
Apr 2024
Aug 2024
↓
  • Contributed to Cisco IAM, VPN, and ServiceNow ticket management at 100% accuracy
  • Managed directory services for 800+ users, reducing security escalations by 76%
  • Resolved 95% of technical issues within SLA, trained end-users on new systems
NETWORK ENGINEER TRAINEE
QuadGen Wireless Solutions
Feb 2023
Mar 2023
↓
  • Supervised integration activities achieving 70% work efficiency
  • Collaborated with cross-timezone US teams to deliver project milestones
Work

MY PROJECTS

01
QUANTITATIVE ANALYSIS OF 2.2M AMAZON UK PRODUCTS
Processed 2.2 million records, addressed 101K missing values, standardized 55 variables. Improved market trend prediction accuracy by 15% using statistical techniques.
Python AWS S3 Plotly QuickSight
02
PRIME VIDEO CONTENT PERFORMANCE INSIGHTS
Analyzed 9,668 Prime Video titles across 15 genres. Standardized 100% of metadata, extracted insights on ratings and engagement patterns to guide content strategy.
Pandas Matplotlib Seaborn
03
NAVIC NAVIGATION SYSTEM
Academic project leveraging India's NavIC satellite navigation for precision positioning using embedded systems and signal processing.
Embedded NavIC Academic
04
SMART BILLING SYSTEM
Automated billing system with real-time data processing, reducing manual billing effort while improving accuracy through intelligent automation.
Python Automation Academic

LET'S
CONNECT.

Email Madhuchandra2603@gmail.com → Phone +91 73383 05996 → LinkedIn madhuchandra2603 → GitHub Madhuchandra-7 →
OPEN TO AGENTIC AI ROLES · DATA ENGINEERING · AI RESEARCH