Ashutosh Pandey

AI Researcher

Gurugram, Haryana, India2 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Expert in AI and Machine Learning applications.
Proficient in both Android and iOS mobile development.
Strong background in backend systems and data science.

Stackforce AI infers this person is a Mobile and AI Development Specialist with a focus on backend systems.

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Skills

Core Skills

Machine LearningBackendData ScienceMobile Application Development

Other Skills

ASTsAmazon Web Services (AWS)Android DesignAndroid DevelopmentAndroid SDKAndroid StudioAndroid SupportC (Programming Language)Computer ScienceCrewAIDeep LearningDesignFrontend DesignJSONJava

About

I code in several different languages like Python, Java, Kotlin, and TypeScript. I am into App Dev and Backend. Other interests include Cyber Security, and AI &ML.

Experience

Harman international

2 roles

Associate AI Engineer

Jul 2025 – Present · 9 mos · Hybrid

Designed and deployed multi-agent pipelines using LangGraph, CrewAI, and React Agents to build tool-augmented, memory-enabled agents for complex decision-making and automation tasks.
Integrated tool APIs hosted across distributed MCP servers by converting them into LangGraph-compatible agent tools, enabling seamless orchestration and interaction across heterogeneous services.
Built code impact analysis systems using ASTs, program dependency graphs, and knowledge graphs—supporting both modern languages like Python and Java, and mainframe languages.

LangGraphCrewAIReact Agentstool APIsASTsprogram dependency graphs+5

AI Intern

Nov 2024 – Jun 2025 · 7 mos · Hybrid

Led the design of a code change impact prediction system using ASTs and program dependency graphs, enabling agent-based reasoning on both structured and legacy codebases.
Explored retrieval-augmented techniques for contextual LLM reasoning across sensor logs, enabling agents to generate interpretable outputs for fault localization and anomaly detection use cases.
Applied parameter-efficient finetuning methods such as LoRA, QLoRA, and model quantization to optimize large language models for faster, memory-efficient inference and downstream customization.

ASTsprogram dependency graphsretrieval-augmented techniquesparameter-efficient finetuningLoRAQLoRA+4

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Software Engineer Intern

Jul 2023 – Jun 2024 · 11 mos · Gurugram, Haryana, India · Remote

Developed Android apps using Java, XML, Kotlin, and Jetpack Compose, delivering scalable and maintainable UI and logic.
Built iOS applications using Swift and SwiftUI, focusing on responsive design and seamless user experience.
Created a NFC-based product authenticity system for both Android and iOS, enabling secure chip scanning and verification.
Implemented password protection over NFC access, preventing unauthorized scanning or replication, ensuring 100% authenticity.
Worked cross-functionally with hardware and backend teams to integrate secure NFC authentication into the mobile ecosystem.

JavaXMLKotlinJetpack ComposeSwiftSwiftUI+4