Harsh Raj

AI Researcher

Hyderabad, Telangana, India2 yrs 3 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in developing AI solutions for Snapdragon chipsets.
  • Proven experience in building LLM-based applications.
  • Strong foundation in software engineering and web development.
Stackforce AI infers this person is a skilled AI/ML engineer with a focus on developing innovative solutions in Fintech and Web Development.

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Skills

Core Skills

Machine LearningLarge Language Models (llm)Natural Language Processing (nlp)Front-end Development

Other Skills

Python (Programming Language)LangchainTypeScriptRegression TestingAutomationTest AutomationGenerative AI ToolsAI toolsSystem on a Chip (SoC)Computer VisionRapidsAI AgentsGraph DatabasesNeo4jOntologies

About

Passionate ML Engineer dedicated to building innovative AI solutions that address real-world challenges. Currently, I’m part of the AI Software (AISW) team at Qualcomm, where we work on optimizing neural networks to run efficiently on-device using the QNN SDK — enabling powerful AI experiences on Snapdragon chipsets. Previously, I worked at TCS as an ML Engineer, where I built RAG-based LLM solutions and generative AI products for enterprise use cases. I also interned at CIMB AI Labs, contributing to LLM-driven automation tools, and at Hobnobly, where I strengthened my software engineering foundation. Excited by the future of AI and always looking to collaborate on meaningful, high-impact projects.

Experience

2 yrs 3 mos
Total Experience
9 mos
Average Tenure
10 mos
Current Experience

Qualcomm

Engineer - AI/ML

Jul 2025Present · 10 mos · Hyderabad, Telangana, India · On-site

  • Part of AI Software Team - enabling AI and ML models to run efficiently on Snapdragon chipsets.
Python (Programming Language)Machine Learning

Tata consultancy services

Machine Learning Engineer (R&I)

Aug 2024Jul 2025 · 11 mos · Hyderabad, Telangana, India · On-site

  • Built a multi-agent system with dynamic agent routing via LangGraph for context-aware decision flows.
  • Developed a custom knowledge graph that allowed agents to assess query completeness and intelligently prompt users for missing information.
  • Integrated MCP for smooth inter-agent communication, with full experiment tracking in MLflow.
  • Developed a chemical domain QnA chatbot using LangChain to extract insights from research papers.
  • Implemented a custom solution to retrieve relevant images from research papers, enhancing research.
  • Worked on Nvidia AI Tech - Nvidia Metropolis, RAPIDS and Omniverse.
LangchainLarge Language Models (LLM)

Cimb

Data Scientist Intern

Mar 2024Aug 2024 · 5 mos · Bengaluru, Karnataka, India

  • Enhanced efficiency by optimizing BANCA codebase, achieving an 8x speed improvement.
  • Spearheaded a POC initiative for LLM-based text extraction from financial documents of different formats.
  • Automated AML case narratives generation with Mistral 7b, integrating tabular data, preset rules, and few-shot training to replace manual workflows and enhance efficiency.
  • Worked on Time series analysis utilzing the Halt Winter methods.
Python (Programming Language)Natural Language Processing (NLP)

Amazon

Mentee - Amazon Science ML Summer School

Sep 2023Oct 2023 · 1 mo · Remote

  • Attended Amazon ML Summer School, guided by industry experts through comprehensive sessions.
  • Gained in-depth knowledge of advanced machine learning concepts, including Supervised Learning, Deep Neural Networks, Dimensionality Reduction, and Unsupervised Learning.
  • Explored complex topics such as Probabilistic Graphical Models, Sequential Learning, Causal Inference, and Reinforcement Learning.
  • Significantly enhanced theoretical understanding of machine learning techniques and their practical applications.
Python (Programming Language)Natural Language Processing (NLP)

Hobnobly - discover anyone's calendar and build communities

Software Development Intern

Jul 2022Sep 2022 · 2 mos · Remote

  • Refactored company's website ensuring improved performance and user experience.
  • Improved website performance by achieving a remarkable 97% image compression rate through PNG to WebP conversion, resulting in faster loading time.
  • Deployed the website using EC2 instances and implemented streamlined code management and maintenance by managing branches.
  • Demonstrated proficiency in CMS platforms and web development by developing and deploying a Blog website using WordPress.
Front-End DevelopmentTypeScript

Education

Indian Institute of Information Technology Kottayam

Bachelor of Technology - BTech (Hons) — Computer Science

Dec 2020Jul 2024

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