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Sandeep GSC

Sandeep GSC

Currently, immersed in the captivating world of Generative AI, exploring its potential and pushing boundaries. With four years (4) of hands-on experience in building Hugging Face models for classification, NER, Summarization, and Question Answering, I've honed my skills in overcoming complex architectural and scalability challenges across diverse industries. Proficient in data modeling and processing, I apply machine learning and deep learning techniques to create practical solutions. I take pride in translating business requirements into meaningful deliverables.
  • Role

    NLP Engineer | Generative AI

  • Years of Experience

    4 years

Skillsets

  • Pytorch
  • machine_learning
  • Python
  • UI
  • react
  • Pandas
  • FastAPI
  • AI
  • Streamlit
  • Segmentation
  • NLP
  • QA
  • ML
  • Python Programming - 4 Years
  • Numpy
  • Mathematics
  • Github
  • On
  • LinkedIn
  • LLAMA
  • LLMs
  • HuggingFace
  • Deep Learning
  • Generative AI space - 1 Years
  • Natural Language Processing - 2 Years

Professional Summary

4Years
  • Feb, 2022 - Apr, 20242 yr 2 months

    NLP Engineer

    L&T Technology Services
  • Jan, 2020 - Dec, 20211 yr 11 months

    ML Engineer

    SocialTek

Applications & Tools Known

  • icon-tool

    Python

  • icon-tool

    NLP

  • icon-tool

    GitHub

Work History

4Years

NLP Engineer

L&T Technology Services
Feb, 2022 - Apr, 20242 yr 2 months
    1. Generative question and answers by Parsing BOSCH Domain documents with LLMs through LangChain and Lllama index with Chainlit UI using Generative AI.
    2. Working with the latest LLMs like llama, mpt, longchat, StableBeluga
    3. Experience in solving problems that involve integrating NLP techniques using the Transformers library. (Text Classification,
    4. Multilingual Named Entity Recognition, Text Generation, Summarization etc.). also training the models with Custom Data.
    5. Experience on prompt engineering. Worked with chain of thoughts, ReAct(Reason+Action) in Langchain
    6. Worked on generative QA using Retrieval-augmented generation (RAG). Trained RAG and HF Embedding models.
    7. Produced extractive and generative QA using Haystack.
    8. Worked on Image Segmentation for copper corrosion detection Using Fastai.

ML Engineer

SocialTek
Jan, 2020 - Dec, 20211 yr 11 months
    1. Predicting Lungs Disease using Deep Learning , model used VGG16, with an accuracy with 96%
    2. Recommendation system for a hotel chain on food items.
    3. Experienced finetuning techniques to suit custom requirements.
    4. Data wrangling and selecting best features to develop better Ml models


Education

  • Bachelor's Degree in Architecture

    School of Planning and Architecture (2018)

  • Mathematics, Physics and Chemistry

    Narayana Junior College, Vijayawada (2013)

Certifications

  • Learn the fundamentals of generative AI for real-world applications - Coursera

  • Learn the fundamentals of generative AI for real-world applications - Coursera