Shiva Sankeerth Reddy Yarradla

Shiva Sankeerth Reddy Yarradla Email and Phone Number

Machine Learning Research Engineer @ BREVIAN
San Jose, CA, US
Shiva Sankeerth Reddy Yarradla's Location
San Jose, California, United States, United States
About Shiva Sankeerth Reddy Yarradla

✌🏼 If you need to know one thing about Shiva Sankeerth, it's this: he loves solving problems using technology and software.🎯 Be it creating an app to generate a monthly summary of invoices for my dad's business, or developing complex and advanced AI Agents for automating Finance Workflows at a hyper-growth startup like ArkiFi, I love breaking down problems and coming up with highly optimized solutions.Prior to joining Stony Brook, I was working as a Machine Learning Engineer at BeamX TechLabs in India for a year. Being part of the Data Science R&D team, my role was to build and scale efficient Machine Learning Systems in the NLP domain. I had the opportunity to work with industry-leading tools and technologies while designing and deploying applications where I developed chatbots in Rasa and backend RESTful web services using a micro-service architecture. I have also had the fortune of working with companies from diverse domains such as FinTech, E-commerce, and HealthTech after my undergrad. ✅ Programming: Python (Numpy, Pandas, NLTK, Spacy, Scikit-Learn, Rasa), PySpark, Java, R, SQL, Tableau.✅ Big Data Tools & Frameworks: Apache Spark, Hadoop, ETL data pipelines, Apache Airflow, Hive, AWS (EMR, S3, EC2, Lambda, SNS, Glue, Redshift, SQS, SageMaker)✅ VCS, DevOps & Misc Tools: PyCharm, Git, Jira, Jenkins, Docker✅ Statistics: Inferential Statistics, Experimental Design, Hypothesis Testing (A/B Testing), Regression Analysis✅ Machine Learning: Regression Modeling, Random Forest, XGBoost, kNN Classifier, K-means Clustering, Feature Extraction (PCA, Factor Analysis), Natural Language Processing, Conversational AI, Convolutional Neural Network, Computer Vision, Deep Learning.Connect with me today to find out how I’ll make your mission my mission, to help bring ALL of your business objectives into focus!

Shiva Sankeerth Reddy Yarradla's Current Company Details
BREVIAN

Brevian

View
Machine Learning Research Engineer
San Jose, CA, US
Website:
brevian.ai
Employees:
9
Shiva Sankeerth Reddy Yarradla Work Experience Details
  • Brevian
    Machine Learning Research Engineer
    Brevian
    San Jose, Ca, Us
  • Arkifi
    Founding Ai / Ml Researcher
    Arkifi Jul 2023 - Present
    Palo Alto, California, Us
    Working with ex-Googlers & the former founders to develop an AI product for automating finance workflows using advanced AI agents.- First Hire in the AI/ML Team.- Zero-to-One Product Development: Rapidly prototyped, evaluated, and integrated new product features, driving innovative solutions from inception to implementation.- Developed and continuously improved best-in-class LLM methods for zero-shot dense retrieval, large-scale hybrid semantic search, and recursive abstractive document analysis.- Agentic Workflows Design: Designed and implemented LLM agents that utilized advanced primitives and external tools to deliver high-quality, hallucination-free, long-form work outputs efficiently.- Established rigorous LLM evaluation protocols, creating custom metrics and combining human preference judgments from domain experts with synthetic data generation for comprehensive assessment.- Fine-tuned LLMs, Cross Encoders (as Rerankers) and domain-specific embeddings models tailored for specialized knowledge work tasks, enhancing performance and relevance.The product would go on to secure millions in ARR with some of the top investment firms across the Globe.
  • Stony Brook University
    Graduate Teaching Assistant
    Stony Brook University Aug 2022 - Sep 2023
    Stony Brook, Ny, Us
    Graded assignments and projects, providing detailed feedback to students on their assignments.Provided one-on-one assistance to students during office hours, answering questions and offering support with SQL and database management-related projects and assignmentsCoached students on SQL syntax, query optimization, and debugging techniques during weekly office hours, helping them to develop strong database management skills
  • Zoom
    Machine Learning Researcher
    Zoom Jun 2022 - Aug 2022
    San Jose, Ca, Us
    Member of the "Contextual Understanding and Predictive Analytics" team, using ML and NLP to provide a world-class Conversation intelligence platform to billions of Zoom users. • Constructed an NLP pipeline to extract transcripts from live video, predicting speaker confidence for a conversational intelligence platform by researching audio, video, and transcript data features.• Modeled the problem as a regression and classification task, developed a custom sklearn pipeline with multiple BERT and Sentence Transformer SBERT variants as feature extractors, improving final predictions by 32%.• Applied distributed training techniques using SageMaker, reducing convergence time by 68%, and deploying final models with 10.4% improvement in F1-score for classification and 20% improvement in RMSE for regression tasks.• Deployed the final model as a micro-service using Flask and Kubernetes on Triton GPU Inference Server, applying quantization and knowledge distillation techniques, reducing inference time by 75%.
  • Stony Brook University
    Graduate Research Assistant
    Stony Brook University Jan 2022 - Jun 2022
    Stony Brook, Ny, Us
    Working in the Pervasive Computing and Smart Sensing (PiCASSo) Lab under the guidance of Prof. Shubham Jain. The lab mainly focuses on leveraging multimodal sensing devices for addressing challenges in the space of health and urban communities.• Working with Prof. Shubham Jain at Mobile Systems Lab to find the anomalies in the time series data obtained from mobile and smart-watch sensors by using a combination of Stacked and Contractive Autoencoders.• Analyzed the limitations of Stacked and convolutional Autoencoders in learning temporal and spatial frequency variations.• An Autoencoder with convolutional Encoding and Stacked Decoding and a pre-processing technique of Dynamic Time warping with time series clustering were proposed to improve the anomaly detection rate from 54% to 95%.
  • Stony Brook University
    Graduate Teaching Assistant
    Stony Brook University Aug 2021 - Jun 2022
    Stony Brook, Ny, Us
    Worked as a Graduate Teaching Assistant for CSE 114: Object-Oriented Programming under the guidance of Prof. Praveen Tripathi.Responsibilities:• Taught OOPs concepts using Java Programming Language to a class of 35 undergraduate students and also gave hands-on tutorials during 30+ Lab sessions.• Graded the bi-weekly homework assignments and weekly Lab assignments.• Conducted 50+ office hours for resolving doubts in class content and assignments.
  • Beamx Techlabs Private Limited
    Applied Natural Language Processing Engineer
    Beamx Techlabs Private Limited Oct 2020 - Jul 2021
    Hyderabad, In
    Project-1: Designing and Developing a end-to-end chatbot application• Spearheaded a team of 4 peers to develop an in-house Chatbot UI kit for integration with Android.• Designed and developed the pipeline of a virtual assistant chatbot capable of engaging in dialogues and question-answering from textual/tabular documents using RASA and BERT-QA and improved the accuracy from 65% to 95% for classifying long documents into multiple classes using hyperparameter tuning.• Enhanced the API response time by 25% through remodeling Database Schema.• Dockerized all micro-service modules to deploy on Kubernetes for a 99% system uptime.Project-2: Designing a Data pipeline for Healthcare and IoT clients.• Utilized multiple AWS services like Lambda, SQS, SNS, Cloud Watch, EC2, and EKS for deploying the system.• Maintained Amazon EMR clusters for handling spark and running ETL jobs. Also handled scaling with job-specific configurations.• Implemented Apache Airflow in the ETL process for scheduling and monitoring jobs. Worked on customizing operators and callbacks.• Built AWS QuickSight reports to monitor operational KPIs SLAs like average DAG runtimes and successful dispatches to ensure high availability and quick resolution of customer issues.• Designed and implemented an AWS Glue metadata architecture to automate pipelines between AWS Glue and Amazon S3 for ETL operations, resulting in a 38% decrease in the overall average job execution time.• Spearheaded cost reduction and storage optimization for AWS Redshift and Snowflake, using Python and Pandas for a 25% efficiency boost and significant cost savings across 9 regions.
  • Deloitte India (Offices Of The Us)
    Software Engineer - Data & Machine Learning
    Deloitte India (Offices Of The Us) Jun 2019 - Oct 2020
    Worldwide, Oo
    Responsibilities:• Formulated and optimized extraction patterns using regular expressions to retrieve the relevant information, resulting in the determination of the specifics of each Loan Notice Document, increasing overall deliverability by 5%.• In collaboration with the Quality Assurance (QA) team, developed a service that automatically performs a set of tests for addressing issues in Azure DevOps using the Agile methodology, resulting in a three-fold increase in bug resolution speed.• Overhauled the OCR back-end which enhanced the overall extraction efficiency from 89% to 95%.Achievements:1) Recipient of Deloitte's Machine Learning Guild Program.2) Winner - New Hire Orientation
  • Atirma Infotech
    Software Engineering Intern
    Atirma Infotech Mar 2019 - Jun 2019
    Worked in Back-end part of application development. Understood about the startup ecosystem. Technologies used: Python, Django, REST framework, Postman
  • Verzeo
    Machine Learning R&D Intern
    Verzeo May 2018 - Jul 2018
    Bangalore, Karnataka, In
    Deep dived into Machine Learning algorithms and implemented the following:1) Sentiment analysis on Customer reviews(industry agnostic) to classify them as positive or negative. If a negative review is found, implemented a mechanism by which Business owners can improve their customer satisfaction. This task mostly involved Natural Language Processing.2) Implemented a Recommender system on amazon apparels. Build the system using different machine learning algorithms including K-NN, SVM and Neural Networks.
  • Wealthsecure
    Full Stack Development Intern
    Wealthsecure May 2017 - Jul 2017

Shiva Sankeerth Reddy Yarradla Skills

Leadership Research And Development Scikit Learn Git Amazon Web Services Public Speaking Object Oriented Programming Microsoft Powerpoint Data Analysis Keras Tensorflow Data Analytics Web Development Data Structures And Algorithms Adobe Photoshop Android Development Deep Learning Selenium Natural Language Processing Html C (Programming Language Java Microsoft Excel Mlops Javascript Feature Engineering Computer Vision Pytorch Python Research Machine Learning Natural Language Understanding Ethical Hacking Data Visualization Mysql C Language

Shiva Sankeerth Reddy Yarradla Education Details

  • Stony Brook University
    Stony Brook University
    Computer Science
  • Osmania University
    Osmania University
    Information Technology

Frequently Asked Questions about Shiva Sankeerth Reddy Yarradla

What company does Shiva Sankeerth Reddy Yarradla work for?

Shiva Sankeerth Reddy Yarradla works for Brevian

What is Shiva Sankeerth Reddy Yarradla's role at the current company?

Shiva Sankeerth Reddy Yarradla's current role is Machine Learning Research Engineer.

What schools did Shiva Sankeerth Reddy Yarradla attend?

Shiva Sankeerth Reddy Yarradla attended Stony Brook University, Osmania University.

What skills is Shiva Sankeerth Reddy Yarradla known for?

Shiva Sankeerth Reddy Yarradla has skills like Leadership, Research And Development, Scikit Learn, Git, Amazon Web Services, Public Speaking, Object Oriented Programming, Microsoft Powerpoint, Data Analysis, Keras, Tensorflow, Data Analytics.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.