SRM Institute of Science and Technology
May 2021 - May 2025
B.Tech Computer Science and Engineering with spl. in Artificial Intelligence and Machine Learning
Aryan Raj.
Software Engineer (AI/ML) at ValueLabs
Building deep learning solutions, generative AI products, and data infrastructure at scale.
Hyderabad, India
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.
Have an AI/ML project in mind, a collaboration opportunity, or an idea to explore? Let's find a time to connect.
30-minute conversationWork
ValueLabs·Software Engineer (AI/ML)
Dec 2025 - PresentHyderabad, IN
- Architecting and delivering enterprise-scale generative AI solutions, including ValueLabs' flagship AiDE Conversational Insights, using advanced multi-agent architectures to generate scalable insights and support enterprise deployments.
- Designing and implementing modern data platforms—including data warehouses, lakehouse architectures, and schema-level migration strategies—to enable scalable analytics and organization-wide KPI reporting.
- Building and integrating internal AI-powered productivity tools, including a company-wide intelligent search platform, to streamline developer workflows, accelerate knowledge discovery, and reduce software licensing costs by 50%.
SEO Stack·Machine Learning Engineer
Sep 2025 - Dec 2025Hyderabad, IN
- 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.
HyperVerge·Machine Learning Engineer (Intern)
Aug 2024 - July 2025Bengaluru, INInternship
- 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.
Emendo AI·Machine Learning Intern
Jan 2024 - Aug 2024California, USA (Remote)Internship
- 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.
Indian Institute of Technology, Madras (IIT M)·Research Intern
Feb 2023 - Jul 2023Chennai, INInternship
- 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.
Education
High School, CBSE (X and XII) Non Medical Sciences (With Computer Science and Commercial Arts)
Projects
5 projectsPaperPilot
AI-powered research assistant for semantic search and summarization of academic papers
- 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.
- 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.
- 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.
1st place at Standard Chartered Hackathon 2024
- 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.
2nd place at Hack Nova 2024
- 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.
Best Project in Open Innovation at MLH MesoHack 2022
- 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.
Top 10 at MozoHack 2024
Writing
5 articles January 2026 · 8 min read
Building the AI Agents That Can Think and Act
Explore the fascinating world of AI agents that can reason, plan, and execute complex tasks autonomously. Learn about the architectures and methodologies that enable AI systems to think and act intelligently.
Read on MediumBuilding the AI Agents That Can Think and Act
Explore the fascinating world of AI agents that can reason, plan, and execute complex tasks autonomously. Learn about the architectures and methodologies that enable AI systems to think and act intelligently.
Read on MediumExploring Attention Mechanisms in Large Language Models
Deep dive into the attention mechanisms that power modern large language models. Understand how transformers use attention to process and generate human-like text.
Read on MediumEfficientNet: A New Approach to Model Scaling
Discover how EfficientNet revolutionizes neural network scaling by balancing depth, width, and resolution. Learn about compound scaling and its impact on model efficiency.
Read on MediumShould You Still Learn to Code Deeply in 2026?
In an era of AI-powered code generation, is deep coding knowledge still valuable? Explore why understanding fundamentals remains crucial for software engineers and AI practitioners.
Read on MediumHow to Become a 100x Python Developer
Master the tools and practices that separate exceptional Python developers from the rest. Learn about modern development workflows, testing, and best practices.
Read on MediumEngineering
Technical skills
4 disciplines
Languages
Frameworks
Machine Learning
Developer Tools
Publications
1 paper
Structured Relevance Assessment for Robust Retrieval-Augmented Language Models
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.
Lecture Notes in Networks and Systems, vol 1652
Achievements
4 highlights
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.
Community
5 communities
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
2021-2025Research Member
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
2022-2023Technical Director
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.