A

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 2025Present · 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 2024Jun 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

Senseoriginal technologies pvt ltd

Software Engineer Intern

Jul 2023Jun 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

Kharagpur open source society

KWOC'22 Contributor

Dec 2022Jan 2023 · 1 mo · India · Remote

JavaAndroid DevelopmentXMLAndroid SupportStatisticsAndroid SDK+2

Education

PSIT Kanpur (Pranveer Singh Institute of Technology)

Bachelor of Technology - BTech — Computer Science(artificial intelligence and machine learning)

Jan 2021Jan 2025

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