Priyanka Bedarkar

Software Engineer

Pune, Maharashtra, India9 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Computer Vision.
Proven track record in developing scalable systems.
Strong experience with AWS and microservices architecture.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Computer Vision and AWS technologies.

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Skills

Core Skills

Machine LearningComputer VisionJavaAwsData EngineeringWeb DevelopmentDeep Learning

Other Skills

C++CPythonSpringDockerOpenCVPyTorchSparkHiveMongoDBHTMLJavaScriptKerasTensorFlowResearch

About

2022-05: Started as a SDE II at Amazon Alexa Team. 2022-03: Promoted to Software Development Engineer II at Audible, Inc. in Newark. 2021-10: Attended Grace Hopper Celebration 2021. 2020-12: Attended AWS re:Invent 2020. 2020-01 : Started as a Software Development Engineer at Audible, Inc. in Newark, New Jersey. 2019-10 : Attended Grace Hopper Celebration at Florida. 2019-08 : Participated in VMware CodeHouse, 3-day long coding Hackathon at VMware’s Palo Alto campus. 2019-07 : Participated in Spectra Hackathon 3.0 at San Francisco. 2019-05 : Started as a SDE Summer Intern at Uber Technologies, Palo Alto in the Maps Team. 2019-01 : Working on my M.S. Project under the guidance of Prof. Minh Hoai Nguyen in the Computer Vision Lab. 2018-08 : Started M.S. in Computer Science at Stony Brook University. 2017-06 : Worked as a Software Engineer at Indus OS for ~1 year. 2017-06 : Received B.E. (Hons.) Computer Science degree from BITS Pilani Goa Campus. 2017-01 : Started as a SDE Intern at Indus OS. 2016-06 : Pursued undergraduate thesis at Video Analytics Lab, Indian Institute of Science for 6 months.

Experience

9 yrs 3 mos

Total Experience

1 yr 7 mos

Average Tenure

4 yrs 1 mo

Current Experience

Amazon

Software Development Engineer II

May 2022 – Present · 4 yrs 1 mo · Pune, Maharashtra, India

Collaborated on a multi-team project to reduce latency for launching the SmartHome Dashboard on Alexa Multimodal devices.
Designed and implemented a real-time system to proactively display add/update/delete actions for smart appliance information on the Echo Hub device, allowing customers to view changes instantly.
Designed and implemented a mechanism to audit the accuracy of smart appliance states displayed on the Echo Hub device, ensuring customers see the correct status.

Deep LearningComputer VisionMachine LearningC++CPython

Audible

2 roles

Software Development Engineer 2

Apr 2022 – May 2022 · 1 mo · Newark, New Jersey, United States

Software Development Engineer

Jan 2020 – Apr 2022 · 2 yrs 3 mos · Newark, New Jersey, United States

Working on a variety of micro-services within Audible that manage member benefits, including Audible’s virtual currency.
Implemented key components to set up infrastructure of a new microservice built in Native AWS.
Redesigned and implemented an API within the web-service to get improved latency and performance.
Implemented performance testing and warmup scripts for the new microservice to ensure scalability and resiliency of the application.
Technologies used - Java, Spring, EC2, NAWS, BONES, S3, Lambda, CDK deployment, CloudFormation, APIGateway, VPC, Docker.

JavaSpringAWSDocker

Uber

Software Developer Intern

May 2019 – Aug 2019 · 3 mos · Palo Alto, California

Designed and implemented an end-to-end pipeline to extract features, train Machine Learning model, generate scores and trigger an alert in the system based on the prediction scores.
Fully tested and productionized the pipeline and monitored the impact on business side.
Technologies used - Spark, Hive, Java, SQL, Hadoop, Python.

SparkHiveJavaPythonMachine Learning

Stony brook university

2 roles

Graduate Student Researcher

Promoted

Jan 2019 – Dec 2019 · 11 mos · Stony Brook, New York

Working on my M.S. Project in the Computer Vision Lab at Stony Brook University.
Topic : Hand Gesture Recognition in Real-Time Video Sequence
Advisor : Professor Minh Hoai Nguyen
Frameworks used : OpenCV, PyTorch

OpenCVPyTorchComputer Vision

Teaching Assistant

Jan 2019 – May 2019 · 4 mos · Stony Brook, New York

TA for undergraduate Machine Learning course CSE 353.
Conducted sessions to clear doubts and impart a better understanding of the topic.
Helped the Professor with grading of assignments and exams.

Indus os

2 roles

Software Engineer

Jun 2017 – Jul 2018 · 1 yr 1 mo · Mumbai Area, India

Worked in the Data Science Team. Managed and improved the data pipeline that transforms server logs to databases using Amazon Web Services. Analyzed user behavior, built models for targeting users effectively leading to increased user engagement.
Technologies used - AWS (S3 and Redshift), Python, MongoDB.

AWSPythonMongoDBData Engineering

Intern

Jan 2017 – Jun 2017 · 5 mos · Mumbai Area, India

Created and deployed a web-application dashboard for OEMs to login and view their periodic reports.
Technologies used - Python (Flask API), HTML, Javascript, Bootstrap, MongoDB, Redis Cache.

PythonHTMLJavaScriptWeb Development

Indian institute of science

Research Intern

Jun 2016 – Dec 2016 · 6 mos · Bengaluru, India

Pursued my undergraduate thesis at Video Analytics Lab, CDS, IISc under the guidance of Prof. R. Venkatesh Babu. Characterized image complexity and caption complexity in terms of scene elements, inter-element relations and trained Deep Learning models to establish a relationship between image and caption complexity using MSCOCO and Visual Genome Datasets.
Technologies used - Python, Keras, TensorFlow, OpenCV, Matlab.

PythonKerasTensorFlowDeep Learning