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Nishant D. AI, Python and Generative AI Platforms

My name is Nishant D. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Generative AI, LangChain, AI Agent Development, ChatGPT API, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I've worked on include: Aerial Image Segmentation Using UNET, RL Agent Playing Mario Using PPO Algorithms, Movie Recommendation System, Scraping CS Domain Abstracts from arXiv (1995-2018). I am based in Bhaktapur, Nepal. I've successfully completed 4 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • AI, Python and Generative AI Platforms

    3 years

  • Python

    2 Years

  • Generative AI

    1 Year

  • LangChain

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Omdena

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Experience Highlights

Aerial Image Segmentation Using UNET

Developed a deep learning model using the UNET architecture for semantic segmentation of aerial images. The project focused on accurately identifying and segmenting different land cover types, such as

RL Agent Playing Mario Using PPO Algorithms

Developed a reinforcement learning (RL) agent capable of playing the classic Mario game using the Proximal Policy Optimization (PPO) algorithm. The project involved training the agent in a simulated e

Movie Recommendation System

Designed and implemented a movie recommendation system that suggests films based on user preferences and viewing history. The system utilized collaborative filtering and content-based filtering techni

Scraping CS Domain Abstracts from arXiv (1995-2018)

Developed a web scraping tool to collect abstracts of computer science papers from the arXiv database, covering publications from 1995 to 2018. The project involved building an efficient scraper that

Education

  • Kathmandu Vishwavidalaya

    Bachelor of Technology (BTech) in Artificial Intelligence

    2021-01-01-2025-01-01

Languages

  • English (Conversational)✓