Aryan Raj

Aryan Raj

Machine Learning Engineer & Backend Developer

+91 8287276911
aryanraj2713@gmail.com
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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.

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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

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.