Aryan Raj - Machine Learning Engineer

Aryan Raj

Software Engineer (AI/ML) at ValueLabs

Building deep learning solutions, generative AI products, and data infrastructure at scale.

View Resume

Building AI Solutions that Matter

I am a Machine Learning Engineer and Backend Developer with experience building practical AI solutions and scalable applications. I graduated in Computer Science and Engineering from SRM Institute of Science and Technology, with hands-on work in deep learning, generative AI, and cloud-based services.

I am currently working at ValueLabs on building scalable AI solutions to drive growth. In my current role, I work on building AI/ML solutions and contributing to developer tooling and analytics infrastructure. I've worked on autonomous AI agents, prompt engineering frameworks, and scalable machine learning systems that reduce manual effort and improve performance.

My internship experience spans AI-driven identity and fraud detection, serverless backend development, and research in machine learning systems for autonomous perception. I have also developed full-stack AI-based platforms that combine semantic search, OCR, and real-time inference.

I enjoy working on projects that solve real problems through practical application of AI and backend technologies, with a focus on clean design and measurable impact.

Let's talk

Book a 30-minute call to discuss AI/ML projects, collaboration opportunities, or ideas.

Schedule on Cal.com

Work

  • Building deep learning and generative AI proof-of-concepts (POCs) and MVPs for client projects, delivering compelling product demos and driving internal AI adoption initiatives across the organization.
  • Contributing to the flagship product AiDE and its subsidiary tools, architecting integrations with various productivity platforms to enhance developer workflows and increase team efficiency.
  • Architecting data analytics solutions, data warehousing infrastructure, and lakehouse architectures to support company-wide KPIs and metrics adoption, enabling data-driven decision making at scale.

Education

B.Tech Computer Science and Engineering with spl. in Artificial Intelligence and Machine Learning

Chennai, INCGPA: 8.4/10

High School, CBSE (X and XII) Non Medical Sciences (With Computer Science and Commercial Arts)

Hiran Kudna, New Delhi

Projects

Next.jsTailwindCSSPythonFlaskPineconeJina AILangChain
  • Built a full-stack AI-powered research assistant platform for semantic search and summarization of academic papers with high precision retrieval.
  • Implemented advanced RAG pipelines using Pinecone for vector storage and Jina AI embeddings, enabling context-aware paper discovery.
  • Developed a Next.js frontend with TailwindCSS and a Flask backend, processing over 500+ papers with structured metadata extraction and citation analysis.
Building the AI Agents That Can Think and ActExploring Attention Mechanisms in Large Language ModelsEfficientNet: A New Approach to Model Scaling

Engineering

Languages

C, C++, Python, Java, JavaScript, SQL (Postgres), HTML, CSS, R

Frameworks

React.js, Next.js, Node.js, Flask, FastAPI, TailwindCSS, JUnit, Material-UI

Machine Learning

NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, OpenCV, NLP, LangChain, LangGraph, Llama-Index, Transformers, HuggingFace

Developer Tools

Git, Docker, Kubernetes, AWS, Azure, Google Cloud Platform, CDK, Terraform, Redis, Pinecone

Structured Relevance Assessment for Robust Retrieval-Augmented Language Models

Astitva Veer Garg, Aryan Raj, Dr. Anitha D

Springer Nature · Lecture Notes in Networks and Systems, vol 1652 · October 31, 2025

  • *Secured 1st place at the Standard Chartered Hackathon for developing OpenKYC, an innovative KYC solution that streamlined identity verification processes.
  • *Won 2nd place at Hack Nova 2024 with Educative.AI, an educational technology project later selected to represent at Innverve 2023, Army Institute of Technology (AIT), Pune.
  • *Received the Best Project Award in the Open Innovation category at MLH Meso Hack 2022 for the project AI-Roadguard.
  • *Authored technical articles on AI for prestigious Medium journals, including the DataX Journal.
  • Dify · Open Source Contributor

    Contributed to various open-source projects; notable contribution includes Dify, a project with over 100,000 stars on GitHub.

  • Next Tech Lab · Research Member · 2021-2025

    Conducted research as a member of Norman and McCarthy Labs, collaborating on web and machine learning projects, specializing in deep learning for image-related tasks.

  • Data Science Community SRM · Technical Director · 2022-2023

    Organized technical events, workshops, and hackathons including DS Hack 2.0.

  • SRM Quantum Computing Club · ML Lead

    Led machine learning initiatives, managing projects at the intersection of quantum computing and machine learning.

  • SRMKzilla · Event Domain Member

    Served as Event Domain Member of SRMKzilla, the official Mozilla club on campus, promoting community contributions and engagement.