Aryan Raj

Machine Learning Engineer & Backend Developer

+91 8287276911

aryanraj2713@gmail.com

GitHub

🎓 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

Machine Learning Engineer

Hyderabad, IN

SEOstackSep 2025 - Present

• 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 using LangChain, LangGraph, and LlamaIndex 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.

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

⚡ Technical Skills

Languages

CC++PythonJavaJavaScriptSQL (Postgres)HTMLCSSR

Frameworks

React.jsNext.jsNode.jsFlaskFastAPITailwindCSSJUnitMaterial-UI

Machine Learning

NumPyPandasScikit-learnTensorFlowPyTorchOpenCVNLPLangChainLangGraphLlama-IndexTransformersHuggingFace

Developer Tools

GitDockerKubernetesAWSAzureGoogle Cloud PlatformCDKTerraformRedisPinecone

📚 Publications

Structured Relevance Assessment for Robust Retrieval-Augmented Language Models

Aryan Raj, Astitva Veer Garg, Dr. Anitha D

Conference: International Conference on Information Technology for Social Development (ITC4SD 2025)

Publisher: Springer Nature

This paper explores the application of fine-tuned LLMs for automated evaluation of open-ended questions in educational contexts, demonstrating significant improvements in accuracy and consistency over traditional methods.

View Paper (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.

Get In Touch

Have a project in mind or want to collaborate? I'd love to hear from you!