ABHILASHA JAIN

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

Built and deployed predictive models for user behavior analysis, leading to a 15% improvement in ad targeting.
Automated data preprocessing and feature engineering pipelines, improving efficiency by 40%.
Developed a real-time fraud detection system, reducing fraudulent activities by 35% using anomaly detection models.
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

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%.
Fine-tuned open-source LLMs like Llama, BERT, and developed ETL pipelines with Azure.
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.
Built a Python-based tool for automating data annotation tasks, increasing efficiency by 30% and reducing errors.

PROJECT DEVELOPER, FREELANCE

August 2019 - August 2021

Developed and optimized live video streaming pipelines, improving performance by 25%.
Initiated and developed a multi-patient ventilator valve during the COVID pandemic, addressing ventilator shortages.
Designed and deployed a personalized recommendation engine, increasing user engagement by 30%.
Developed a scalable A/B testing framework to evaluate recommendation models, driving data-driven decisions.
Built an appointment scheduling website, streamlining service provider operations and enhancing customer experience.

DATA SCIENTIST PRODUCT ENGINEER, WECAN EDUCATIONAL ORGANIZATION

September 2016 - July 2019

Designed and implemented a Google Cloud-based patient monitoring system, improving response rates by 40% through real-time emergency alerts.
Conducted machine learning-driven analytics to analyze patient journeys and healthcare ecosystem interactions, driving data-driven decision-making.
Collaborated with non-technical stakeholders, translating complex insights into actionable reports to support business strategies.
Managed end-to-end ML project lifecycles, ensuring compliance with ethical guidelines and industry standards.
Built and optimized classification models, reducing false positives by 20%.