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Priyanshu S. AI, Machine Learning and Computer Vision

My name is Priyanshu S. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, etc.. I hold a degree in High school degree, Bachelor of Technology (BTech), . Some of the notable projects I've worked on include: RAG based LLM Assistant, Conditional GAN for image generation, Computer Vision's Detection Model from Scratch, Deep Reinforcement Learning Implementation on game Environment. I am based in Bengaluru, India. I've successfully completed 4 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • AI, Machine Learning and Computer Vision

    1 year

  • Artificial Intelligence

    1 Year

  • Machine Learning

    1 Year

  • Deep Learning

    1 Year

Additional skills

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Reinforcement Learning
  • PyTorch
  • Python Scikit-Learn
  • Python
  • Object Detection
  • Object Tracking
  • Classification
  • YOLO

Direct hire

Potentially possible

Previous Company

Ciphus

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Experience Highlights

RAG based LLM Assistant

I created a chat Assistant made with OpenAI's API and Langchain and the vector database ,used here is ChromaDB. Langchain was use for RAG implementation including reading the documents and then using

Conditional GAN for image generation

I developed a Conditional Generative Adversarial Network (CGAN) from scratch to generate images based on specific conditions or labels. The project involved building both the generator and discriminat

Computer Vision's Detection Model from Scratch

developed an object detection model from scratch, implementing key components like a convolutional neural network (CNN) for feature extraction and separate layers for bounding box regression and class

Deep Reinforcement Learning Implementation on game Environment

In my DRL project, I used OpenAI Gym environments and implemented DQN, DDQN, Dueling DQN, and Dueling DDQN. I trained agents to learn optimal policies using neural networks, experience replay, and tar

Education

  • SJS Public School

    High school degree in

    2007-01-01-2019-01-01

  • Jain University,Bangalore

    Bachelor of Technology (BTech) in Computer Science (Specialized in AI-ML)

    2021-01-01-2025-01-01

  • NSPS

    in

    2019-01-01-2021-01-01

Languages

  • English (Fluent)
  • Hindi (Native or Bilingual)