Akash Naidu

AI Researcher

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in Python and Java for software development.
Experience in AI/ML projects with major clients like Uber.
Trained at Scaler Academy, specializing in software development.

Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on scalable applications.

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Skills

Core Skills

Machine LearningArtificial Intelligence (ai)

Other Skills

Large Language Models (LLM)Prompt EvaluationData AnnotationValidationNatural Language Understanding (NLU)Computer VisionResponsible AI (RAI)AWS SageMakerPython LibrariesFlaskAzure ServicesAzure Virtual MachinesMicrosoft AzureCloud ComputingDesign Patterns

About

Enthusiastic and detail-oriented Software Developer with a strong foundation in Python, Java, and modern software development practices. A 2023 Computer Science graduate trained at Scaler Academy, specializing in Software Development, Problem Solving, Low-Level Design (LLD), and High-Level Design (HLD). Currently working as a Machine Learning Data Associate at HAN Digital, contributing to AI/ML data operations, model evaluation, and training data quality improvement for intelligent systems. Previously worked on AI/ML projects with Indium Software for Uber Technologies, where I contributed to training data annotation, validation, and quality enhancement for machine learning models. Experienced in Natural Language Processing (NLP), Computer Vision workflows, and AI model performance analysis using tools like Data Compute. Passionate about building scalable real-world applications, exploring emerging AI technologies, and continuously improving technical and analytical skills in software engineering and machine learning.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Han digital solution

Machine Learning Associate

Apr 2026 – Present · 2 mos · Bengaluru · On-site

Large Language Models (LLM)Prompt EvaluationMachine LearningArtificial Intelligence (AI)

Indium

Ai contingent Coder

May 2025 – Oct 2025 · 5 mos · Bengaluru · Remote

1. Worked on AI/ML projects for client Uber Technologies through Indium Software, contributing to annotation, validation, and refinement of large-scale training datasets for ride-hailing AI systems.
2. Performed quality assurance and validation of AI-generated data using Data Compute tool to improve model accuracy.
3. Worked on Natural Language Understanding (NLU) and Computer Vision tasks for chatbots, virtual assistants, and autonomous systems.
4. Identified inconsistencies, resolved edge cases, and contributed to continuous improvement of AI model performance and dataset reliability.
5. Adapted quickly to evolving AI workflows, tools, and client protocols while consistently meeting productivity and quality targets.

Artificial Intelligence (AI)Machine Learning