Aryan Raj - Machine Learning Engineer & Backend Developer

Aryan Raj

Machine Learning Engineer & Backend Developer

+91 8287276911
aryanraj2713@gmail.com
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About Me

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. Previously, 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.

Education

SRM Institute of Science and Technology

Chennai, IN

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

May 2021 - May 2025

CGPA: 8.4/10

Ganga International School

Hiran Kudna, New Delhi

High School, CBSE (X and XII) Non Medical Sciences

(With Computer Science and Commercial Arts)

Experience

Software Engineer (AI/ML)

Hyderabad, IN
ValuelabsDec 2025 - Present
  • • 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.

Machine Learning Engineer

Hyderabad, IN
SEOstackSep 2025 - Dec 2025
  • • Building and deploying autonomous AI agents to automate complex SEO workflows and content analysis pipelines, reducing manual effort by 60% and improving turnaround times.
  • • Designing and implementing scalable machine learning infrastructure to support multi-step reasoning and real-time content optimization.
  • • Architecting prompt engineering frameworks and evaluation systems to ensure high-quality, contextually relevant SEO recommendations across diverse client domains.

Internships

Machine Learning Engineer (Intern)

Bengaluru, IN
HyperVergeAug 2024 - July 2025
  • • Developed and fine-tuned LLM-based solutions to automate KYC and fraud detection workflows, tailored for real-world, domain-specific regulatory use cases across financial institutions.
  • • Led evaluation and benchmarking of LLMs on over a million real-world data points, setting up scalable performance monitoring pipelines and achieving industry-accepted False Acceptance Rate (FAR) and False Rejection Rate (FRR) thresholds.
  • • Optimized and deployed state-of-the-art computer vision and NLP models for identity verification, significantly improving inference speed and accuracy under production constraints.

Machine Learning Intern

California, USA (Remote)
Emendo AIJan 2024 - Aug 2024
  • • Engineered and deployed AI solutions leveraging the AWS ecosystem with a focus on Generative AI to build scalable, client-centric applications.
  • • Developed and maintained 10+ Generative AI-based microservices with industry-standard integrations using AWS Lambda, API Gateway, and OpenTelemetry for observability.
  • • Architected scalable, serverless backends to support efficient retrieval and generation workflows across diverse application domains.

Research Intern

Chennai, IN
Indian Institute of Technology, Madras (IIT M)Feb 2023 - Jul 2023
  • • Collaborated with the Department of Ocean Engineering to design and implement a machine learning-based anti-collision system, improving accuracy of existing solutions by over 28%.
  • • Developed marine object detection, tracking, and localisation systems using stereo vision-based camera setups for alternative navigation in unmanned surface vehicles (USVs).
  • • Worked with state-of-the-art computer vision models and successfully deployed the solution on edge-based IoT hardware for real-time maritime applications.

Projects

PaperPilot

Next.js, TailwindCSS, Python, Flask, Pinecone, Jina AI, LangChain

  • • 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.

Open-KYC

Next.js, OpenCV, TensorFlow, Tesseract, ShadCN, WebRTC

  • • Built an AI-based KYC portal with features like facial authentication, Aadhaar/PAN card OCR, and liveness detection via video stream.
  • • Used OpenCV and TensorFlow for identity verification workflows, achieving high accuracy and security standards.
  • • Secured 1st place at Standard Chartered Hackathon 2024 for end-to-end automation and production readiness.

Educative.AI

Python, FastAPI, React.js, TailwindCSS, LLMs, TensorFlow

  • • Developed a student assistance tool integrating OCR and 10+ fine-tuned open-source LLMs to process handwritten and blackboard notes.
  • • Implemented a FastAPI backend and React.js frontend for features such as MCQ generation, speech-to-text doubt resolution, and structured note organization.
  • • Enabled automatic resource retrieval and summarization, enhancing accessibility and productivity for students.

AI-RoadGuard

React.js, CNN, Flask, Python, TensorFlow

  • • Engineered a CNN-based accident detection system achieving over 90% accuracy with 50% fewer false alerts than existing solutions.
  • • Developed a Flask backend and React.js frontend dashboard for real-time alerting to emergency services.
  • • Recognized as the Best Project in Open Innovation at MLH MesoHack 2022.

OneMed

Python, Next.js, JavaScript, LLMs, Pinecone, MongoDB, AWS

  • • Built a full-stack AI-powered EHR platform for hospitals, integrating LLM-based summarization and voice-to-text consultations.
  • • Developed a React Native app for syncing emergency data and patient conditions in real-time.
  • • Implemented scalable vector search with Pinecone for intelligent patient record retrieval; ranked Top 10 at MozoHack 2024.
View More Projects
Explore my complete portfolio on GitHub
My Medium Blogs
Read my articles on AI & ML

Technical Skills

Languages

CC++PythonJavaJavaScriptSQL (Postgres)HTMLCSSR

Frameworks

React.jsNext.jsNode.jsFlaskFastAPITailwindCSSJUnitMaterial-UI

Machine Learning

NumPyPandasScikit-learnTensorFlowPyTorchOpenCVNLPLangChainLangGraphLlama-IndexTransformersHuggingFace

Developer Tools

GitDockerKubernetesAWSAzureGoogle Cloud PlatformCDKTerraformRedisPinecone

Publications

Conference: International Conference on Information Technology for Social Development (ICT4SD 2025)

Publisher: Springer Nature • Lecture Notes in Networks and Systems, vol 1652

Published: October 31, 2025 • Pages 73-82

DOI: 10.1007/978-3-032-06691-6_8

This paper addresses the challenges faced by Retrieval-Augmented Language Models (RALMs) in reducing factual errors by introducing a framework for structured relevance assessment. The work proposes a multi-dimensional scoring system for document relevance, embedding-based relevance scoring, and specialized benchmarking showing significant reductions in hallucination rates.

View on SpringerView on arXiv

Achievements

  • 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.

Club and Contributions

  • Contributed to various open-source projects; notable contribution includes Dify, a project with over 100,000 stars on GitHub.
  • Conducted research at Next Tech Lab (2021-2025) as a member of Norman and McCarthy Labs, collaborating on web and machine learning projects, specializing in deep learning for image-related tasks.
  • Served as Technical Director at Data Science Community SRM (2022-2023), organizing technical events, workshops, and hackathons including DS Hack 2.0.
  • Led machine learning initiatives at SRM Quantum Computing Club, managing projects at the intersection of quantum computing and machine learning.
  • Served as Event Domain Member of SRMKzilla, the official Mozilla club on campus, promoting community contributions and engagement.