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B.E in Mechanical Engineering, Masters in Computer Science from LJMU, Currently a Senior AI/ML Engineer & AI Architect at Optum.
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Optum (UHG)
Senior Infrastructure Engineer - AI/ML
June 13, 2026 – Present
The-Research-Radar
December 29, 2025 – Present
The Research Radar A high-fidelity, responsive web interface for an AI Research Newsletter subscription service. Designed with a "cyber-grid" aesthetic, featuring a starfield background, glassmorphism UI, and interactive multi-step forms.
View ProjectResearch-Paper-Feed-Summarizer
November 5, 2025 – Present
Research Paper Feed Summarizer using MCP and
View ProjectMachineHack_GIH
November 24, 2020 – December 6, 2020
MachineHack Great Indian Hackathon, Rank 34 Solution
View ProjectDICOM_Generator_Keras
September 23, 2020 – November 27, 2020
DICOM_Generator_Keras — GitHub repository
View ProjectCreating_Anime_Database_With_Web_Scraping
May 29, 2020 – June 10, 2020
Create an Anime database containing all the Anime currently available on the website, which includes: 'Anime Title', 'Description', 'Current/Latest Season', 'Episodes Aired', 'Status', 'Initial Air Date', 'Genre', 'Sub/Dub', 'Series/Movie', 'URL'
View ProjectReal-or-Not-NLP-with-Disaster-Tweets
May 2, 2020 – May 2, 2020
Real-or-Not-NLP-with-Disaster-Tweets: Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies). But, it’s not always clear whether a person’s words are actually announcing a disaster. Take this example: The author explicitly uses the word “ABLAZE” but means it metaphorically. This is clear to a human right away, especially with the visual aid. But it’s less clear to a machine. In this competition, you’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t. You’ll have access to a dataset of 10,000 tweets that were hand classified. If this is your first time working on an NLP problem, we've created a quick tutorial to get you up and running. Disclaimer: The da
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML, data science, and web scraping, which aligns with the target role of Senior Infrastructure Engineer - AI/ML. The diversity of personal projects (NLP, image processing, data forecasting) indicates a proactive learning approach. However, the experience section only lists a current role with a future start date, making it difficult to assess actual professional experience and cultural fit within a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.