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Utsav Singhal

AI Engineer · Machine Learning Researcher · AI Systems Builder

I design and build research-driven AI systems focused on large language models, AI agents, healthcare intelligence, drug discovery, and quantum-safe security.

I am currently open to freelancing, research collaborations, and early-stage startup work in applied AI and intelligent systems.

Who I Am

I am a B.Tech undergraduate specializing in Artificial Intelligence and Machine Learning, with a strong focus on research-oriented system design and applied AI engineering. My work is centered on building AI systems that are technically sound, interpretable, and scalable, with particular interest in large language models, AI agents, healthcare applications, and secure systems. I actively work on transforming research ideas into working prototypes and deployable systems. In parallel, I contribute to open-source projects, participate in research publications, and engage in technical leadership, aiming to bridge academic research with real-world AI applications.

What I Do

  • Design and implement end-to-end AI/ML pipelines
  • Build LLM-powered systems, including RAG and agent-based workflows
  • Work on applied research problems in healthcare and drug discovery
  • Explore secure AI systems and post-quantum cryptographic approaches
  • Develop production-ready prototypes from research concepts

What I Bring

  • Strong balance between research depth and engineering execution
  • Ability to convert theoretical ideas into structured systems
  • Experience across NLP, computer vision, healthcare AI, and security
  • Clear documentation, disciplined system design, and reproducibility
  • Leadership experience through mentoring and technical communities

Experience

Machine Learning Intern

Culinda Inc. (Remote)

Aug 2025 – Sep 2025
  • Developed machine learning models for AI-driven cybersecurity systems, focusing on anomaly and threat detection.
  • Improved chatbot performance by optimizing NLP pipelines and response-ranking logic, leading to higher response accuracy.
  • Collaborated with cross-functional teams to deploy ML solutions in real-time environments.

Quantum Computing Research Intern

EGREEN QUANTA

May 2025 – Jul 2025
  • Researched and designed post-quantum cryptography (PQC) protocols using quantum computing principles.
  • Authored a quantum-resistant security proposal selected for incubation by a National Center of Excellence.
  • Worked closely with researchers and engineers on secure system architectures resistant to quantum attacks.

Data Science Intern

Data Culture Technologies

Jun 2024 – Aug 2024
  • Built predictive models for sales, retention, and trend forecasting using machine learning techniques.
  • Optimized ETL pipelines to improve data processing efficiency and scalability.
  • Applied explainable ML techniques to derive actionable insights from business datasets.

Technical Stack

Programming Languages

PythonC/C++JavaJavaScriptBashSQL

AI / Machine Learning

TensorFlowPyTorchKerasScikit-learnXGBoostLightGBMOpenAI API

NLP & Computer Vision

BERTT5GPTHugging Face TransformersspaCyNLTKYOLOOpenCV

AI Agents & LLM Systems

LangChainLangGraphReActAgent-to-Agent workflowsRetrieval-Augmented Generation

Vector Databases

FAISSPineconeWeaviateMilvus

Quantum & Security

QiskitQuantum CryptographyIBM QuantumCirq

Tools & Deployment

DockerKubernetesFastAPIStreamlitGradioGit/GitHubMLflow

Freelancing & Collaboration

Freelance AI/ML Development

Available for AI/ML consulting and development projects, LLM-powered systems, and AI agent workflows

Research Collaborations

Open to research partnerships in healthcare AI, drug discovery, secure AI systems, and post-quantum cryptography

Early-Stage Startups

Interested in early-stage startup work in applied AI, intelligent systems, and research-driven product development

Consulting

Consulting on applied AI architecture, secure systems, LLM integration, and production ML pipelines

For collaboration or work opportunities, feel free to connect via email or LinkedIn.

Get in Touch

Feel free to reach out for collaborations, consulting opportunities, or to discuss interesting AI/ML problems.