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Prabhat Singh

AI/ML Engineer with a Master of Technology from IIIT Delhi and experience at Stridecal, specializing in cutting-edge AI, machine learning, and data science solutions. Proficient in Python, R, C++, Java, SQL, and skilled in leveraging advanced machine learning algorithms, large language models (GPT-4, LLama, BERT), and NLP for AI-driven automation and predictive modeling. Hands-on experience in PySpark, Numpy, Pandas, Seaborn, and Matplotlib, delivering robust data science and deep learning solutions.

At Stridecal, led AI and data science projects across bioinformatics, data lakes, and cloud infrastructure (AWS EC2, Azure). Proficient in data visualization with Tableau, Power BI, and API testing using Postman. Strong backend development expertise with Node.js, Spring Boot, and database management with PostgreSQL and GraphQL. Passionate about using AI/ML to drive innovation and deliver impactful business outcomes through data-driven strategies.

  • Role

    AI Data Scientist

  • Years of Experience

    4.67 years

  • Professional Portfolio

    View here

Skillsets

  • Power BI
  • Lang-graph
  • Librosa
  • Matplotlib
  • Microsoft SQL Server
  • Mlp
  • MySQL
  • Node4j
  • Nodejs
  • NumPy
  • OpenAI
  • pandas
  • PostgreSQL
  • Keras
  • RESTAPI
  • Scikit-learn
  • SciPy
  • Seaborn
  • Snowflake
  • spaCy
  • Statistics
  • Streamlit
  • Superset
  • Tableau
  • Lama.cpp
  • Machine Learning - 3.0 Years
  • Java
  • NLP - 3.0 Years
  • Python - 5.0 Years
  • PyTorch - 3.0 Years
  • rag - 3.0 Years
  • SQL - 3.0 Years
  • TensorFlow - 3.0 Years
  • LangChain - 3.0 Years
  • PySpark - 3.0 Years
  • Docker - 3.0 Years
  • Kubernetes - 3.0 Years
  • LLM - 3.0 Years
  • HTML
  • Apolloclient
  • AWS Bedrock
  • AWS EC2
  • Chroma
  • CSS
  • Ctransformers
  • Flask
  • Github
  • GraphDB
  • GraphQL
  • HuggingFace

Professional Summary

4.67Years
  • Jan, 2024 - Present2 yr 2 months

    AI/ML Engineer

    StrideCal NUS Singapore
  • Feb, 2023 - Dec, 2023 10 months

    Gen AI Data Scientist

    FunctionUP

Applications & Tools Known

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    Python

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    SQL

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    NoSQL

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    AWS EC2

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    Superset

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    GraphQL

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    Power BI

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    Tableau

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    GitHub

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    Kubernetes

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    Docker

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    LangChain

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    HuggingFace

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    OpenAI

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    Flask

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    RestAPI

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    MySQL

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    Streamlit

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    Librosa

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    Scikit-learn

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    Pandas

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    Matplotlib

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    Seaborn

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    SciPy

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    NLTK

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    scikit-learn

Work History

4.67Years

AI/ML Engineer

StrideCal NUS Singapore
Jan, 2024 - Present2 yr 2 months
    Developed an AI chatbot to retrieve information, answer questions, and summarize data across multiple PDF documents using NLP and LangChain. Implemented document handling for efficient PDF upload, parsing, and search. Utilized Python, NLTK, Scikit-learn, and TensorFlow for preprocessing, modeling, and evaluation. Fine-tuned the LLAMA 2 model on custom datasets using Hugging Face Transformers and PyTorch. Leveraged OpenAI's NLP models for cross-referenced answers and summaries for legal, finance, and research use cases.

Gen AI Data Scientist

FunctionUP
Feb, 2023 - Dec, 2023 10 months
    Leveraged PostgreSQL databases via GraphQL for in-depth data analytics and seamless data interaction. Integrated Superset for advanced data visualization and reporting. Engineered a task prioritization framework using Random Forest machine learning models. Aggregated complex datasets from APIs for data integration. Executed optimized SQL queries for efficient data extraction and transformation. Implemented machine learning algorithms, deep learning models, NLP, and AI frameworks for predictive analytics and automated insights.

Achievements

  • GAT-B Qualified (2020): AIR - 124
  • GAT-B Academic Scholarship recipient for M.Tech
  • College Academic Branch Topper (2016-20)
  • Overall 7th Rank in University during B.Tech

Major Projects

5Projects

Speech Emotion Recognition Using Librosa and MLP Classifier

    Created a system to classify emotions from audio signals using Librosa, PyTorch, and scikit-learn, including feature extraction and training an MLP classifier.

Fine-Tuning LLAMA 2 with Custom Datasets for Enhanced NLP Performance

Jul, 2024 - Aug, 2024 1 month
    Fine-tuned the LLAMA 2 model on custom datasets to improve domain-specific NLP performance using Hugging Face Transformers and PyTorch.

Intelligent Multi-PDF Chat Application with OpenAI and LangChain for Real-Time Document Analysis

May, 2024 - Jun, 2024 1 month
    Developed a chat application using OpenAI and LangChain to analyze and summarize multiple PDF documents in real time.

Contextual Chatbot with Retrieval-Augmented Generation (RAG) and LLM Integration

Mar, 2024 - Apr, 2024 1 month
    Built a contextual chatbot using RAG and LLM integration, leveraging CTransformers, Lama.cpp, LangChain, and Streamlit for advanced conversational capabilities.

Sentiment Analysis of Text Data Using NLP and Machine Learning Technologies

Jan, 2024 - Feb, 2024 1 month
    Analyzed textual data to derive sentiment insights, including polarity and subjectivity scores, using NLP and machine learning techniques.

Education

  • M.Tech

    IIIT Delhi

  • B.Tech

    Svpua&T

Certifications

  • Aws cloud

  • Google advanced data analytics

  • Data science and machine learning udemy

  • Aws cloud practitioner

  • Accenture developer program

  • Sql

  • Iiit delhi - teaching assistant