Hello, I'm

    Harmanpreet Singh

    Software Engineer - Specialized in Machine Learning & AI

    I am a passionate engineer with expertise in software development, machine learning, LLMs, and cloud technologies. Dedicated to delivering exceptional results through innovation, data-driven insights, and creative problem-solving.

    Profile Photo

    About Me

    I've always enjoyed building things — from scribbling logic in notebooks to shipping code that powers real products. Somewhere along the way, I got curious about the patterns behind the data. That curiosity led me into machine learning, and eventually into designing systems that don't just run, but learn.

    These days, I work at the intersection of software engineering and intelligence. I build backend services, train models, and wire them together into thoughtful ML-powered applications. I'm especially into LLMs, cloud-native workflows, and anything that turns raw data into real insights.

    I'm currently based in the NYC metro area, working on projects that blend practical engineering with a bit of AI magic. Outside of work, you'll usually find me hacking on side ideas or chasing good light with my camera. If you're curious or want to collaborate, feel free to reach out.

    My Skills

    A combination of technical expertise and soft skills that enable me to deliver exceptional results in data science and machine learning.

    Programming Languages

    Python, R, Java, JavaScript, HTML/CSS for building data-driven applications and interfaces.

    Machine Learning

    Expertise in PyTorch, TensorFlow, scikit-learn for predictive modeling and AI solutions.

    LLMs, RAG & Agentic AI

    Experience with GPT, LangChain, LangGraph, OpenAI Agents SDK, CrewAI, and building RAG systems.

    Data Engineering

    Proficient in SQL, MongoDB, Vector Databases, and data pipeline development.

    Cloud & AWS

    AWS (S3, SageMaker, Bedrock Redshift, Quicksight, EC2, Lambda) for scalable deployments.

    MLOps

    Building end-to-end ML pipelines, automated deployments, and monitoring solutions.

    DevOps

    Docker, CI/CD, Jenkins for streamlined development and deployment processes.

    Data Analysis

    Pandas, NumPy, and visualization tools for extracting insights from complex datasets.

    Technical Skills

    Python95%
    Machine Learning90%
    LLMs & RAG85%
    AWS85%
    Data Analysis90%

    Soft Skills

    Problem Solving95%
    Communication90%
    Teamwork85%
    Time Management80%
    Research90%

    Professional Experience

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    Education & Certifications

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    My Projects

    A collection of my notable projects, demonstrating my technical skills and creative problem-solving.

    Vygil - Autonomous Activity Tracking & Anomaly Detection

    Vygil - Autonomous Activity Tracking & Anomaly Detection

    Autonomous AI agent platform for activity tracking, using computer vision, LLMs, persistent memory, and adaptive real-time decision-making.

    LLM
    Agentic AI
    MCP
    Activity Tracking
    Computer Vision
    FastAPI
    InsightWing: AI-Driven Web Content Summarizer

    InsightWing: AI-Driven Web Content Summarizer

    A Chrome extension utilizing FalconLLM and LangChain for efficient 60-word web content summarization with a user-friendly interface and interactive chat feature.

    LLM
    LangChain
    Chrome Extension
    JavaScript
    HTML/CSS
    Video Recommendation System

    Video Recommendation System

    A containerized, microservice-based video recommendation system built using FastAPI, Redis, Docker, and Kubernetes with autoscaling, service orchestration, and caching.

    FastAPI
    Redis
    Docker
    Kubernetes
    Microservices
    Document Question Answering System

    Document Question Answering System

    A Document QA system using LangChain, HuggingFace Transformers, and FAISS for retrieval-augmented generation with efficient document retrieval.

    LangChain
    RAG
    FAISS
    HuggingFace
    Python
    Global Socioeconomic Patterns in Suicide Trends

    Global Socioeconomic Patterns in Suicide Trends

    Analysis of the impact of GDP on suicide rates globally using R, revealing key economic correlations and age/gender factors through data visualizations.

    R
    Data Analysis
    Visualization
    Statistics
    Social Science
    StyleGAN Implementation

    StyleGAN Implementation

    Implementation of StyleGAN from scratch on the FFHQ dataset with Few-Shot GDA via Domain Re-modulation (DoRM) to adapt across diverse datasets.

    GAN
    PyTorch
    Deep Learning
    Computer Vision
    Python

    Get In Touch

    Have a question or want to work together? Schedule a meeting or send me a message!

    Schedule a Meeting

    Choose a time that works for you using my online calendar.

    Send Me a Message

    Feel free to reach out with any questions or inquiries.

    © 2025 Harmanpreet Singh. All rights reserved.