AI Engineer

Open to full-time
Bio

Roshan K. is a Machine Learning Engineer with over four years of experience specializing in Python-based systems and Large Language Models. He utilizes technologies such as Python, Django, Flask, React, and AWS to build scalable machine learning applications, chatbots, and multi-agent systems. Roshan is adept in deploying solutions on cloud platforms like AWS and GCP, and he implements practices like Retrieval-Augmented Generation and CI/CD pipelines to ensure robust and efficient development. At SoftBuilds, Roshan designed and developed LLM-based chatbots using Amazon Lex and LangChain, and architected scalable AWS-based ML infrastructure. During his tenure at Devsinc, he led the development of Python-based applications and architected RESTful API integrations, showcasing his SQL proficiency across diverse databases. Roshan holds a Bachelor’s degree in Computer Science from the National University of Science and Technology. He is well-suited for roles that involve innovative AI-driven product development and the deployment of scalable machine learning solutions.

Expertise
PythonNode.jsReactFlaskMongoDBSQLCSSHTMLAWSShopifyFast APIRelational DatabaseDocument DatabaseGit
Video Intro
Assessments
APPLICANT AVG · 55%ROSHAN · 84%0255075100TopASSESSMENT SCORE (0–100)
  • Great on Implement LRU Cache AlgorithmMedium
  • Great on Understanding Rate Limiting in APIsMedium
  • Great on Ensuring Real-time Data Accuracy in Mobile AppMedium
Projects

LabCorp

Provides advanced diagnostics and drug development services

Athlete Studio

Integrated Printful and Shopify functionalities into the Athlete Studio CMS system

Nubula

Chrome extension like Helium for mercadolibre

Experience
  1. Senior Software Engineer

    SoftBuildsSep 2024Present
    • Designed and developed LLM-based chatbots using Amazon Lex and LangChain
    • Developed agentic AI and multi-step reasoning workflows with LangChain and PydanticAI
    • Architected scalable AWS-based ML infrastructure
    • Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using LangChain
    Amazon LexLangChainPydanticAIAWS
  2. Software Engineer

    DevsincFeb 2022Sep 2024
    • Spearheaded development of Python-based applications using Django, Flask, React, and App Engine
    • Showcased SQL proficiency across diverse databases
    • Architected RESTful API integrations
    • Authored comprehensive test suites
    • Leveraged GCP services for deployment strategies
    PythonDjangoFlaskReactApp EngineSQLGCP
  3. Web Developer

    YOUREDUCONNECTFeb 2021Feb 2022
    • Launched the website successfully on the internet
    • Created a database with info about universities
    • Managed the process of putting the app on the internet
    BootstrapHTMLDjango
Education
  1. Bachelor’s in Computer Science (CS)

    National University Of Science and TechnologyIslamabad, Pakistan2018 — 2022
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