I build data-driven products end-to-end with race-day focus and a cricket captain’s patience from data modeling and ETL pipelines to dashboards, ML/NLP systems, and modern web experiences. I’m currently exploring roles in Data/Business Analytics, Project/Product, GenAI Development, and Full Stack Development.
A strong foundation in systems, data, and product execution.
Texas A&M University, Mays Business School (Aug 2025 – May 2027). Focused on building scalable systems and data products.
D. J. Sanghvi College of Engineering, University of Mumbai (Aug 2021 – May 2025). Built a strong base in analytics, AI, and data systems.
I want to work on teams that ship real outcomes: better decisions, faster workflows, and cleaner experiences powered by analytics, automation, and AI.
Hands-on work across analytics, web development, automation, and applied ML.
At the Dean of Veterinary Medicine, I’m migrating websites to modern Aggie UI/UX, improving accessibility, and refactoring HTML/CSS/JS to boost maintainability and standardize content for faster future updates.
At ASAP Advisors, I built real-time dashboards for diamond merchants and automated billing workflows using Power Apps, cutting process time significantly and reducing manual work. I also began my MS MIS at Texas A&M to deepen product, systems, and analytics skills.
At CodTech IT Solutions, I used Python (pandas, NumPy, scikit-learn) to clean/analyze large datasets and built ML/deep learning models (e.g., stock prediction and customer behavior analysis) with strong accuracy.
At MindTech Solutions, I maintained and improved production websites, reduced recurring issues, improved performance (faster page loads), and helped ship work on-time with better customer outcomes.
Leading teams, organizing large-scale events, and driving sponsorship + execution.
Mumbai, India • Jul 2023 – Sep 2024
Led an 80+ member team to organize large hackathons and workshops, managed a $7,200 budget, and secured $4,800+ in sponsorships. Partnered with business leaders to convert real challenges into clear problem statements for a high-impact hackathon, enabling participants to build targeted solutions.
Mumbai, India • Jul 2022 – Jun 2023
Led a 10-member team to host technological fests and cultural events, securing $2,400+ in sponsorships and managing execution across planning, outreach, and on-ground coordination.
Work across real-time ML, NLP/GenAI, privacy engineering, and applied computer vision.
A full-featured engagement platform for the CMIS program at Texas A&M University, featuring AI-powered student–mentor matching, event management, and automated workflows. Built with Python, Streamlit, MongoDB, and Groq AI.
Built a MariaDB ETL pipeline integrating multi-source CSV data into a 6-table relational schema. Ensured 99% data integrity by fixing 6,500+ issues using REGEXP + SQL.
Built a multimodal ML prototype that predicts social media engagement as High, Medium, or Low using CLIP image embeddings and Gemma-based caption analysis.
Combined visual features with caption signals like hook strength, clarity, emotion, curiosity gap, and CTA strength in an interpretable Streamlit app with confidence scoring.
Production-ready evaluation and monitoring pipeline for RAG applications with automated quality checks on every push.
Includes: golden dataset testing, MLflow experiment tracking, drift detection, CI/CD quality gates, and Slack alerts.
AI-powered financial insight assistant implementing a complete RAG pipeline with real-time finance/news data, semantic retrieval, sentiment analysis, risk scoring, and grounded recommendations.
Built a real-time AI meeting copilot that transcribes live conversations, generates context-aware suggestions, and supports grounded chat over meeting context.
Engineered speech-to-text and reasoning workflows with Groq Whisper Large V3 and GPT-OSS 120B, plus session export, configurable prompts/settings, and browser-based persistence.
Real-time ML using sensor data to predict soil nutrients and recommend crops. Reduced turnaround time for farmers by ~80% vs lab-testing workflows.
Upgraded a chatbot with Flan-T5 XL for sentiment + cognitive reframing. Improved accuracy (+35%) and engagement (+40%).
Ingests audio/text/PDF/PPT and converts content into accessible formats using Google Labs (Opal, Stitch, AI Studio).
Proposed privacy-preserving addition over encrypted inputs, enabling computation with zero data exposure for sensitive records.
Built multilingual NLP pipelines for entity recognition + translation in clinical text.
Real-time driver drowsiness detection with safety alerts using Twilio API.
My toolbox for analytics, product execution, GenAI/ML, and full stack delivery.
Dashboards • modeling • decision support
I enjoy turning messy data into clean models, reliable dashboards, and insights that help teams move faster.
Automation • modeling • applied AI
I use Python for analytics workflows, automation, and building ML/NLP prototypes that can scale into real products.
GenAI edge: Certified in AWS Academy Generative AI Foundations and actively exploring practical GenAI workflows.
Web • integration • productivity
I like building polished, responsive web experiences and connecting them to data systems, dashboards, and automation so teams can ship faster.
Highlights from competitions where I shipped real, working products under constraints.
CMIS Engagement Platform: A full-featured engagement platform for the CMIS program, featuring AI-powered student–mentor matching, event management, and automated workflows. Built with Python, Streamlit, MongoDB, Groq AI.
Built an accessibility-first app that ingests study material (audio, text, PDFs, PPTs) and transforms it into a fully accessible experience using Google Labs (Opal, Stitch, AI Studio).
Accessibility modes:
Dyslexia: simplify language, apply OpenDyslexic font, generate text-to-speech audio
Anxiety: Focus Mode UI, chunk text into digestible paragraphs, calmer animations
Color Blindness: high-contrast theme, AI-generated alt-text, non-color labels for visuals
Credentials that support my work across analytics, AI, and product delivery.
AI foundations • responsible AI • real-world use cases
Validates my understanding of core AI concepts, common model types, practical GenAI workflows, and how to apply AI responsibly in real products.