Fourth-year undergraduate in Electrical Engineering at the Indian Institute of Technology Goa. Experience includes a Google SWE internship building a multi-modal AI agent using GeminiLLM and a scalable Python pipeline fo…
Fourth-year undergraduate in Electrical Engineering at the Indian Institute of Technology Goa. Experience includes a Google SWE internship building a multi-modal AI agent using GeminiLLM and a scalable Python pipeline for developer metrics analysis, along with data analysis work using Power BI, Google Sheets, and MS Excel. Has built projects using FastAPI, PyTorch, and web technologies, and developed web scraping solutions using APIs, BeautifulSoup, and Playwright.
Architected and built a multi-modal AI agent with the GeminiLLM to automate root-cause analysis of YouTube’s “Bad Developer Days” (BDDs).
Engineered a scalable Python pipeline that ingests, processes, and analyzes developer metrics from static CSVs and dynamic F1 GoogleSQL queries.
Developed a novel analysis workflow that generated Matplotlib charts from raw data and fed both images and text to Gemini, enabling anomaly and trend detection.
Developed web scraping solutions for job listings using APIs, BeautifulSoup, and Playwright for the backend of the website.
Collaborated with a team to improve the website’s dashboard interface using Node.js and Tailwind CSS.
Utilized statistical methods to analyze data and generate actionable business reports, aiding in informed decision-making.
Worked with the management team to create a prioritised list of needs for each business segment.
Worked in teams to form comprehensive reports for management, highlighting trends, patterns, and predictions derived from data analysis, facilitating strategic planning and performance assessment using Power BI, Google Sheets, and MS Excel.
Part of the program which is an intensive course on key ML topics from Amazon Scientists.
Architected and built a multi-modal AI agent with the GeminiLLM to automate root-cause analysis of YouTube’s “Bad Developer Days” (BDDs). Engineered a scalable Python pipeline that ingests, processes, and analyzes developer metrics (submit latency, build queues, forge, slipstream) from static CSVs and dynamic F1 GoogleSQL queries. Developed a novel analysis workflow: generated Matplotlib charts from raw data and fed both images and text to Gemini, enabling superior anomaly and trend detection.
Part of the program which is an intensive course on key ML topics from Amazon Scientists.Oops! It looks like the cover letter is missing.Now, add a cover letter to complete your application.Click "Create Cover Letter."Oops! It looks like the cover letter is missing.Now, add a cover letter to complete your application.Click "Create Cover Letter."
Utilized statistical methods to analyze data and generate actionable business reports, aiding in informed decision-making. Worked with the management team to create a prioritised list of needs for each business segment. Worked in teams to form comprehensive reports for management, highlighting trends, patterns, and predictions derived from data analysis, facilitating strategic planning and performance assessment using Power BI, Google sheets and MS Excel.
Developed web scraping solutions for job listings using APIs, BeautifulSoup, and Playwright for the backend of the website. Collaborated with a team to improve the website’s dashboard interface using Node.js and Tailwind CSS.
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