MS in CS at University at Massachusetts Amherst
Greetings! I'm an experienced AI-ML professional specializing in Computer Vision, NLP, and ML solutions. With a track record of delivering impactful projects and upholding ethical AI practices, my objective is to contribute expertise to innovative teams. Passionate about advancing AI's potential, I aim to create cutting-edge technologies that address complex challenges while adhering to ethical considerations, driven by collaboration and a commitment to continuous learning.
I am currently pursuing my Master's Degree in Computer Science with Data Science Concentration at the University of Massachusetts Amherst
- Master of Science (MS) in Computer Science
- Courses: Advanced Machine Learning, Advanced Natural Language Processing, 3D Computer Vision, Reinforcement Learning, Systems for Data Science, Applied Statistics
- B.Tech in Electrical & Electronics Engineering
- Courses: Data Structures & Algorithms, Advanced Mathematics, Programming Fundamentals, Digital Signal Processing, Fundamentals of Data Science
With 4+ years of industry experience, I have been actively involved in designing, developing, and deploying cloud-based Machine Learning solutions. Throughout my journey, I have led the charge on numerous AI initiatives, both in research and for an array of clients across sectors such as healthcare, geomatics, finance, and retail. My tenure at Ericsson, Microsoft, EXL and Accenture has allowed me to contribute significantly to diverse AI projects, cementing my expertise in this dynamic field.
- Responsible for developing and evaluating machine learning models in the telecom domain to optimize site inspection processes
- Tools Used: Python, GLIP, RAG, LoRA, Object Detection, Image Classification, Optical Character Recognition, OpenCV, Azure Custom Vision
- Category: Computer Vision
- Responsible for devising Parameter Efficient Fine-Tuning (PEFT) strategies for language encoders, leveraging Fisher matrix for optimal layer identification
- Tools Used: Python, Transfer Learning, BERT, RoBERTa, XLNet, LLMs
- Category: NLP
- Responsible for devising software solutions for Global Financial clients using Computer Vision and NLP
- Tools Used: Python, AWS Lambda, AWS Step Functions, AWS S3, AWS Textract & Translate APIs
- Category: NLP and Computer Vision
- Responsible for developing end-to-end solutions using Computer Vision, NLP, Machine Learning, and Data Science for clients from various sectors like healthcare, geomatics, retail, etc.
- Tools Used: Python, Yolo V5, Flir Image Extractor, UNET, AWS EC2,AWS Lambda, AWS Step Functions, AWS S3, AWS Textract & Translate APIs
- Category: Machine Learning, Computer Vision and NLP
Nurturing a strong aspiration to share my research findings, I am thrilled to share that my dedication has yielded noteworthy results. I am delighted to report the acceptance and publication of two of my papers at the CCVPR 2021 conference, published by Springer. My commitment to advancing knowledge remains unwavering, further highlighted by my recent submission to EMNLP 2023, which is currently undergoing review.
- Devised selective fine-tuning using Fisher matrix to optimize performance of Large Language Models [BERT, RoBERTa, XLNet, LLMs]
- Assessed Large Language Models’ (LLMs) code summarization capability with semantic preserving code transformations [CodeT5, CodeBert, CodeXGLUE]
- Developed an end-to-end solution for empty floor space optimization in 2D images with an IoU score of 96.4% on a threshold of 0.5 [Mask RCNN, Image Blending]
- Designed a pipeline for borderless table detection & data extraction from scanned input documents with an average accuracy of 98.4% [SSD Mobilenet, TensorFlow Lite, OpenCV]
I have keen interest towards Software Development, Machine Learning and Artificial Technologies, and Design.
- Python
- C/C++
- SQL
- Javascript
- HTML CSS
- R
- TensorFlow
- Keras
- PyTorch
- OpenCV
- Scikit-Learn
- NLTK
- Numpy
- Pandas
- Spacy
- Flask
- LLMs
- Airflow
- Databricks
- Adobe Photoshop
- Adobe Illustrator
- Adobe InDesign
- Figma
- MongoDB
- MySQL
- PostgreSQL
- Tableau
- Grafana
- Kibana
- Splunk
- Power BI
- AWS
- Azure
- GCP
- Linux
- Docker
- Spark
- Hadoop
- MapReduce
- Kubernetes
- ElasticSearch
- RESTful APIs
- GIT
- CI/CD
- SSH
- Unity
- JIRA
I am just a ping away.
Abhilasha Lodha
Address: Amherst, Massachusetts, USA
Email: alodha@umass.edu
Phone number: +1 413-315-7618