As an experienced Machine Learning (ML) and Artificial Intelligence (AI) engineer, I specialize in designing and deploying advanced intelligent solutions tailored to meet the unique needs of your business. My expertise revolves around leveraging the power of large language models (LLMs) such as OpenAI’s GPT series, Anthropic’s Claude, Google’s Gemini, and more, to enhance workflows, improve customer interactions, and ultimately drive operational efficiency. With a strong foundation in building and fine-tuning LLM-based applications, I focus on solving complex problems through state-of-the-art AI technologies and seamless API integrations. My technical proficiencies include creating agents capable of executing intelligent tasks autonomously, analyzing and extracting actionable insights from vast amounts of unstructured data, and optimizing models to ensure they are both scalable and cost-effective for production environments.

Additionally, I excel in integrating AI-driven tools into existing systems by crafting custom APIs, ensuring they align perfectly with your business objectives. Throughout my career, I’ve worked on various AI-driven innovation projects, ranging from customer support chatbots to decision-making assistants and advanced automation tools. Whether you’re looking to automate time-consuming processes, improve decision-making, or deliver personalized customer interactions, I’m here to provide innovative LLM-based applications to help transform your business. Let’s build smarter, AI-driven solutions together to unlock your organization's true potential!

Professional Summary

• Detail-oriented Software Engineer with over 2 years of experience in Python development, environment configuration, and open-source project contributions.

• Adept at resolving dependency conflicts, setting up robust and reproducible development environments, and ensuring code quality through automated testing.

• Strong communication and collaboration skills, with an active GitHub presence and passion for clean, maintainable code.

Education

• Master of Applied Science (Computer Engineering)
  Memorial University of Newfoundland, Canada – Dec 2023

• Bachelor of Engineering (Information Technology)
  K.J. Somaiya Institute of Information & Technology, Mumbai, India – Dec 2020

Professional Experience

AI Developer
BASC Corp, Remote – Current

• Designed and deployed a chatbot for a job portal using Gemini LLM and Vertex AI.

• Used Gemini PDF-to-JSON to extract structured data from resumes and match to job posts.

• Automated job data extraction using Selenium.

• Built a matching algorithm for resume-job deion fit scores.

• Regularly contribute to open-source Python projects focused on machine learning and tooling.

• Set up consistent and reproducible development environments using poetry, conda, and virtualenv.

• Troubleshoot and resolve complex dependency and versioning issues across multiple codebases.

• Reviewed and merged PRs with a focus on clean code, passing tests, and clear documentation.

• Automated environment setup with Makefiles and shell s for seamless onboarding.

Generative AI Engineer (Founding Engineering Role)
Gitty AI, Texas, USA – Remote

• Led predictive LLM projects with custom fine-tuning, RAG, and AI agent development.

• Built scalable ML pipelines integrated with PostgreSQL and CI/CD.

• Designed workflows using DialogFlow CX, Document AI, and Python.

• Mentored junior engineers and led cross-functional deployments.

Research Assistant
Memorial University, Canada – Dec 2023 to Dec 2024

• Designed microservices-based integration solutions.

• Managed API lifecycle and enterprise integrations (Salesforce, Workday).

• Debugged performance issues and managed CI/CD with Jenkins and GitLab.

Projects

Web Scraping Automation for Job Portals

• Built Selenium-based pipelines to extract job data from various boards.

• Enabled structured metadata collection and real-time indexing.

Conversational AI Chatbot for Job Matching

• Developed a chatbot using Gemini and Vertex AI.

• Integrated PDF-to-JSON parsing for resume-job matching.

• Enhanced UX with prompt engineering and natural dialogues.

Technical Skills

• Languages: Python, Bash, JavaScript

• Tools: Git, Docker, Conda, Poetry, pip, Pyenv, Make

• Frameworks/Libraries: pytest, Flask, FastAPI, TensorFlow, Pandas

• Environments: Linux, macOS, WSL, VSCode, PyCharm

• CI/CD: GitHub Actions, Jenkins

• Others: Dependency resolution, virtual environments, environment.yml, requirements.txt