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HrithikRai/README.md

👋 Hi, I’m @HrithikRai

An experienced AI developer with over four years of expertise in building and deploying scalable, robust, and testable machine learning solutions with attention to detail. Proficient in the full AI development lifecycle including system architecture and database design, microservices development and integration and CI/CD pipelines with ability to work effectively in a collaborative environment. Adept at working in dynamic, cross-functional environments having excellent storytelling and communication skills.

SKILLS

Programming - Python, R, C, C++, JavaScript, SQL, HTML & CSS

Data Science - Descriptive analysis, Exploratory Data analysis, Predictive analysis, Prescriptive analysis, Diagnostic analysis, Inferential analysis, Regression and Factor analysis

Machine learning operations- algorithms, Supervised and unsupervised learning, Deep learning, Reinforcement learning, Transformer based models, natural language processing, Large Language Models, Streaming based, Continual Learning, Model Retraining, Generative models, BERT

Data Visualization and Dashboarding - matplotlib, seaborn, plotly, dash, streamlit, google charts, PowerBI

Mathematics and Statistics - Linear algebra, calculus, probability theory, bayesian methods, statistical tests, hypothesis testing

Database Management - SQL (PostGres, MySQL), NoSQL (MongoDB), Data migration pipelines, Data Modeling, Data Warehousing, ETL Processes

Data Engineering - Apache Spark, Scala, AWS S3, Glue, Kinesis, BigQuery, Data Warehouse (Amazon Redshift) Automation (UI path)

MLOps stack - Weights and Biases (experimentation platform), Ray (model training), Flyte (ML workflow orchestration), BentoML (model serving)

DevOps - Version Control, Git, MLFlow, Docker, GitLab CI - CI/CD Pipelines, Continuous monitoring using Grafana System diagnostics and testing, Deployment process (Heroku, Google Cloud Run)

Cloud Computing - AWS, Google Cloud

Computer science - Procedural Programming, Object Oriented Programming, System Architecture Design, Unit testing, Logging, Debugging, AGILE oriented development, Jira, Confluence, Parallel Programming frameworks, code reviews, distributed systems, Asynchronous calling frameworks, caching

Soft skills – Decision optimization, Conversion of insights and directing decisions into dollar value, Fast learner,
Emotional intelligence, translation of technical evaluation and results in layman terms, excellent problem solving skills within given resources and time, leadership and mentorship skills with adaptability, time management and negotiation skills, critical thinking and efficient conflict resolution, creativity, project management

Wanna know more or want to collaborate? - Visit my portfolio.

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  1. AMDB--Awesome-Movie-Database-and-Recommender-System AMDB--Awesome-Movie-Database-and-Recommender-System Public

    A movie database and content based movie recommender system using cosine similarity

    Jupyter Notebook

  2. Autoencoder-as-an-end-to-end-communication-system Autoencoder-as-an-end-to-end-communication-system Public

    In this project, we train an autoencoder for information transmission over an end-to-end communication system, where the encoder will replace the transmitter tasks such as modulation and coding alo…

    Jupyter Notebook 3 2

  3. Parallelization-of-Energy-Calculation-for-a-box-of-water-molecules Parallelization-of-Energy-Calculation-for-a-box-of-water-molecules Public

    In this project I have parallelized the massive energy calculation using technologies like MPI and OpenMP. Detailed description in the pdf file.

    C

  4. satellite_image_segmentation satellite_image_segmentation Public

    Jupyter Notebook

  5. FraudHawk FraudHawk Public

    Real-Time Transaction Monitoring for Fraud Detection (Autoencoders/IsolationForest)

    Python

  6. langchain_notes_projects langchain_notes_projects Public

    Jupyter Notebook