Haripriya Raman

In tandem with an insatiable thirst for knowledge, I bring invaluable hands-on experience in the software industry. My practical engagement in software development has finely tuned my aptitude for seamlessly applying theoretical concepts to real-world scenarios. Whether engaged in collaborative coding projects, tackling intricate troubleshooting tasks, or refining software solutions for optimal performance, my experience has ingrained in me a robust work ethic, keen attention to detail, and a results-driven mindset. With a proven track record of contributing to successful software projects, my commitment to both continuous learning and pragmatic application shines through in the dynamic realm of technology. The synergy of my theoretical expertise and practical acumen positions me as a well-rounded and adaptable student poised to excel in any technological endeavor.

Experience

Graduate Assistant

University at Buffalo, The State University of New York

• Organized and taught in recitations for Data Intensive Computing course; helped and mentored 180 students with course work & project
• Created and graded questions on 10 quizzes, 3 assignments, and 1 project; supervised final exams and quizzes

January 2024 - May 2024

Software Engineer

Yellow.ai

• Led the development of 30+ AI Bot projects for prominent clients, utilizing NLP, and successfully integrated Google Assistant, Google Business Messages, and Alexa channels across diverse projects. Also developed multilingual bots to cater to a diverse user base.
• Conducted detailed user engagement analysis on chatbots across channels (WhatsApp, Facebook, websites, GBM, GA, Instagram, Alexa) and implemented a robust scheduler system for automating time-specific tasks, enhancing operational efficiency and engagement.
• Spearheaded the beta-phase implementation of WhatsApp Pay for the Indian market, collaborating with Meta and WhatsApp, employing advanced NLP techniques, and incorporated various WhatsApp Business features for E-Commerce clients.
• Tech Stack : Python, JavaScript, Node JS, Power BI, Postman, Rocket Lane, SQL, NLP, AI, Draw.io, S3 Bucket.

November 2020 - August 2022

Software Engineer - Internship

Yellow.ai

• Enhanced NLP training models, including word2vec and Sentence Encoder, using Python and real-time customer data to optimize lemma identification and intent categorization.
• Crafted a chatbot with a live agent module, facilitating direct interaction between users and company agents for queries. Implemented a ticketing system assigning tasks to agents based on availability to streamline user-agent communication.
• Tech Stack : Python, JavaScript, Node JS, Power BI, Postman, Rocket Lane, SQL, NLP, AI, Draw.io, S3 Bucket.

August 2020 - October 2020

Internship

Cognizant Technology solutions

• Acquired expertise in iOS mobile accessibility through training.
• Developed an iOS Crafted an iOS-based e-commerce mobile application, incorporating audio-based accessibility features using Swift and XCode.
• Tech Stack : Swift, XCode, HTML, CSS, JavaScript

January 2020 - May 2020

Education

Technical Skills

• Python
• C++
• C
• Javascript
• R
• Matlab
• Java

• HTML
• CSS
• Flask
• MySQL
• MongoDB
• SQLite
• SQL Server
• PostgreSQL
• Hadoop

• Mac OS
• Windows
• Linux

• Tableau
• PowerBI
• VS Code
• Jupyter Notebook
• R Studio
• Anaconda
• Git
• Jira
• Bitbucket
• Tensorflow
• SKLearns
• Numpy
• Pandas
• Matplotlib
• Seaborn
• Postman
• Rocketlane
• MS Office
• Pytorch
• Keras

• Amazon Alexa Skills
• Google Assistant Routines
• Google Business Messages
• Machine Learning
• Artificial Intelligence
• Data Science
• Data Analytics
• Deep Learning
• Reinforcement Learning
• Natural Language Processing
• Computer Vision
• Apache Spark
• Hadoop

• Data Intensive Computing
• Frontend Development
• Backend Development
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Information Retrieval
• Natural Language Processing
• Computer Vision
• Data Science

Projects

Data Intensive Computing & Machine Learning

Prediction of US Accidents

Computer Vision

Estimation of Vehicle Weight for Structural analysis

Machine Learning

Lay-off Prediction

Machine Learning

Adult Income Prediction

Deep Learning

Gender Prediction from Ultrasound

Deep Learning & Computer Vision

Traffic Sign Recognition using Convolutional Neural Network

Computer Vision

Restaurant Flow Control System

Data Intensive Computing

Word-Count

Machine Learning

Land Mine Classification

Deep Learning

Fashion MNIST

Awards & Accomplishments

• Rewards & Recognition from yellow.ai - I was rewarded for taking ownership of the work.
• Rewards & Recognition from yellow.ai - I was rewarded for Developing Quality Bots.
• Certificate of Appreciation from Yellow.ai - Being a Quick Learner.
• Participated and Demonstrated my project in CSE Project Day at University at Buffalo.

Interests

During my leisure time, I enjoy delving into the latest technologies through platforms like Udacity, LinkedIn Learning, Coursera, CodeAcademy, and Udemy. Completing courses and applying the acquired knowledge to personal projects gives me a sense of accomplishment.

Furthermore, I have a passion for drawing, engaging in board games, experimenting with new culinary creations, and expressing my creativity through various sketches and artwork. These diverse activities add a rich and fulfilling dimension to my leisure time.