ABOUT
My Background
Throughout my life, I’ve approached every challenge with enthusiasm, creativity, and a ceaseless desire to achieve success. This passion and drive have paved the way to countless opportunities, unique experiences, and exceptional relationships both personally and professionally.
With a passion for mathematics, programming, and all things biomedical, I have both the skillset and academic background necessary to dive deep into the data and algorithmic world. As an upbeat, self-motivated team player with excellent communication, I envision an exciting future in the industry as Math Modeler, Data Scientist, or Data Analyst. If you’re interested in learning more about me, keep reading or get in touch.
MY EXPERIENCE
Roles & Responsibilities
GENERATIVE AI ENGINEER, HOUSE OF INSPIRATION
July 2024 - Jan 2025
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Built and deployed predictive models for user behavior analysis, leading to a 15% improvement in ad targeting.
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Automated data preprocessing and feature engineering pipelines, improving efficiency by 40%.
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Developed a real-time fraud detection system, reducing fraudulent activities by 35% using anomaly detection models.
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Led the end-to-end ML lifecycle from data collection, model training, evaluation, and deployment using PyTorch.
AI/ML ENGINEER - NLP/GENAI , SPG AMERICA
July 2023 - June 2024
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Developed internal tools using Optical Character Recognition (OCR), Named Entity Recognition (NER), and Prompt Engineering, reducing manual labor by 73% and time consumption by 65%.
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Fine-tuned open-source LLMs like Llama, BERT, and developed ETL pipelines with Azure.
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Led the development of a real-time speed and number plate detection system using YOLOv8, integrated with an SMS alert system for traffic law enforcement.
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Built a Python-based tool for automating data annotation tasks, increasing efficiency by 30% and reducing errors.
PROJECT DEVELOPER, FREELANCE
August 2019 - August 2021
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Developed and optimized live video streaming pipelines, improving performance by 25%.
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Initiated and developed a multi-patient ventilator valve during the COVID pandemic, addressing ventilator shortages.
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Designed and deployed a personalized recommendation engine, increasing user engagement by 30%.
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Developed a scalable A/B testing framework to evaluate recommendation models, driving data-driven decisions.
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Built an appointment scheduling website, streamlining service provider operations and enhancing customer experience.
DATA SCIENTIST PRODUCT ENGINEER, WECAN EDUCATIONAL ORGANIZATION
September 2016 - July 2019
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Designed and implemented a Google Cloud-based patient monitoring system, improving response rates by 40% through real-time emergency alerts.
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Conducted machine learning-driven analytics to analyze patient journeys and healthcare ecosystem interactions, driving data-driven decision-making.
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Collaborated with non-technical stakeholders, translating complex insights into actionable reports to support business strategies.
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Managed end-to-end ML project lifecycles, ensuring compliance with ethical guidelines and industry standards.
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Built and optimized classification models, reducing false positives by 20%.
EDUCATIONAL BACKGROUND
What I’ve Learned
NORTHEASTERN UNIVERSITY
September 2021 - May 2023
Master of Science in Applied Mathematics
Specialization in Machine Learning & Data Science
D.Y. PATIL UNIVERSITY
July 2015 - June 2019
Bachelors of Technology in Biomedical Engineering
Specialization in Medical Imaging and Signal Processing
Minor in Instrumentation
MY SKILL SET
A Valuable Skill
Raising the Bar
Above and Beyond
"Do not go where the path may lead. Instead, go where there is no path and leave a trail"