K

KBN Naveen Kumar

Machine Learning Engineer

Bengaluru, Karnataka, India1 yr 7 mos experience

Key Highlights

  • Expert in LLM fine-tuning and Generative AI.
  • Developed SageMaster Pro for real-time productivity metrics.
  • Strong foundation in Java and SQL for data applications.
Stackforce AI infers this person is a Machine Learning Engineer specializing in Generative AI and cloud-based ML systems.

Contact

Skills

Core Skills

Llm Fine-tuningAmazon SagemakerMachine LearningJavaDatabase Management System (dbms)

Other Skills

SQLData PreprocessingSageMakerExcel VBAJavaScriptHTMLCSSModel EvaluationMySQLPrompt EngineeringGenerative AILarge Language Models (LLM)Amazon Web Services (AWS)Feature ExtractionML Pipeline Design

About

Machine Learning Engineer | Amazon Bedrock | LLM Fine-Tuning | Generative AI | AWS I am a Machine Learning Associate at Amazon Web Services (AWS), working at the intersection of Generative AI and cloud-scale ML infrastructure. My day-to-day work involves fine-tuning Large Language Models (LLMs) for code generation on Amazon Bedrock, building Java and SQL data pipelines, and developing internal tools that improve labeling productivity for AI teams. What I work on: ✅LLM Fine-Tuning for code generation on Amazon Bedrock using Java & SQL pipelines ✅Large-scale ML dataset preprocessing, validation, and quality management ✅SageMaker Ground Truth tooling — built SageMaster Pro browser extension with real-time metrics ✅Excel VBA automation for cross-system data collection and reporting ✅End-to-end ML pipelines: data preparation → feature extraction → model training → evaluation Key Projects: ▪ SageMaster Pro — Real-time labeling dashboard browser extension for AWS SageMaker GT ▪ Leukemia Detection System — End-to-end ML diagnostic pipeline with explainability focus ▪ College Management System — Full-stack Java/MySQL app with RBAC B.E. Computer Science | VTU | CGPA: 7.03 Pursuing: AWS AI Practitioner + AWS Machine Learning Engineer certifications I am actively seeking Machine Learning Engineer opportunities in Generative AI, LLM fine-tuning, and AWS-scale cloud ML systems. Let's connect: naveen200224@gmail.com | +91-9019752083

Experience

1 yr 7 mos
Total Experience
--
Average Tenure
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Current Experience

Amazon

ML Data Associate

Nov 2024Present · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

  • ▪ Fine-tuned Large Language Models (LLMs) for code generation on Amazon Bedrock using Java and SQL-based
  • data pipelines, improving output quality and developer usability
  • ▪ Pre-processed, validated, and evaluated large-scale ML training datasets; resolved data quality issues and
  • improved experiment turnaround time for ML teams
  • ▪ Designed and developed SageMaster Pro — a browser extension for SageMaker Ground Truth delivering realtime productivity metrics, word counting, task tracking, and automated CSV export
  • ▪ Automated data collection and cross-system reporting with Excel VBA and macros, increasing data
  • consistency and reducing manual effort
  • ▪ Collaborated with ML engineers on dataset curation and evaluation strategies for Generative AI workloads on
  • Amazon Bedrock
LLM Fine-TuningJavaSQLData PreprocessingSageMakerExcel VBA+1

Airobosoft products and services

Intern

Aug 2023Sep 2023 · 1 mo · Karnataka, India · On-site

  • ▪ Developed Java/MySQL data applications with optimized database schemas and SQL queries, reducing page
  • load time by 40%
  • ▪ Built responsive HTML/CSS/JavaScript frontend interfaces for real-time production projects
  • ▪ Performed systematic testing and debugging to enhance stability of production-ready codebases
JavaMySQLHTMLCSSJavaScriptDatabase Management System (DBMS)

Education

DR. T. THIMMAIAH INSTITUTE OF TECHNOLOGY (TTIT)

Bachelor of Engineering - BE — Computer Science and Engineering

Jan 2020Jun 2024

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