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Amar K. AI, Data Engineering and Web Platforms

My name is Amar K. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Python, AI Agent Development, OpenAI API, LangChain, Vector Database, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Weather API - ETL - Airflow, Binance Crypto Trader, Spotify PySpark Assignment. I am based in Bengaluru, India. I've successfully completed 3 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, Data Engineering and Web Platforms

    7 years

  • Python

    4 Years

  • AI Agent Development

    2 Years

  • OpenAI API

    5 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Google India

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Experience Highlights

Weather API - ETL - Airflow

The Project performs ETL - Extract, Transform and Load using the Airflow for the Weather API data. It loads historical data and the current weather data for a certain interval of time. The airflow is run in the docker image with astro distribution.

Binance Crypto Trader

Binance Crypto Trader Tool, runs automatically on the GCP VM Instance, making the trading decision by a sophisticated Algorithm, which can be tweaked by the configuration file while the trade in on run. The project is auto-deployed using the the continuous Integration pipeline in the GCP using the docker Image. The project is written in Java in SpringBoot framework.

Spotify PySpark Assignment

Client wanted an assignment project - which identifies the related song recommendation for featured artists, and also cluster the same song with common feature, and also using PySpark to answer the common business question, and be able to display the data on the Grpah. Machine Learning Algorithm used - Nearest Neighbour , K-Mean Cluster

Education

  • Visvesvaraya Technological University

    Bachelor of Engineering (BEng) in Computer science

    2010-01-01-2014-01-01

Languages

  • English

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