Prashant Gupta

Senior Software Engineer

Seattle, Washington, United States11 yrs 4 mos experience

Highly StableAI Enabled

Key Highlights

Over 10 years of software engineering experience.
Expert in AI and large-scale distributed systems.
Proven track record in developing innovative features.

Stackforce AI infers this person is a SaaS and AI specialist with expertise in distributed systems and data analytics.

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Skills

Core Skills

Large Scale Distributed SystemsArtificial IntelligenceAndroid DevelopmentMachine LearningData AnalysisData PrivacyBig Data Analytics

Other Skills

Natural Language ProcessingCloudKubernetesSparkKafkaCassandraAWSFacial RecognitionPyDashDeep LearningNeural NetworksHadoopSecurity Information and Event ManagementData ProtectionPython

About

With over 10 years of experience in software engineering, I am passionate about designing and implementing solutions that solve business challenges and real-world problems using Artificial Intelligence and Large Scale Distributed Systems. I am a fast learner with a strong sense of applying my knowledge to a business context and delivering value to customers. As a Member of Technical Staff at ThoughtSpot, I work on developing large scale distributed systems and applications that are responsible for running a huge SaaS platform and the Artificial Intelligence engine that powers the Natural Language Search for Business Intelligence Data. I have been heavily involved in different aspects of application and infrastructure design and development during Thoughtspot's journey from operating as an on-premises hardware business to a large scale modern SaaS offering that spans across all cloud providers and caters to millions of worldwide users. I work on developing innovative features and products that enable users to search and analyze data using natural language and voice. I use a variety of cutting-edge technologies, such as LLM's, Cloud, Kubernetes, Spark, Kafka, Cassandra, PyDash, and AWS, to handle large-scale data processing, streaming, and machine learning. I also have experience in developing Android applications that use facial recognition and morphing to create animations from images. I am always eager to learn new skills and explore new domains that can enhance my expertise and impact.

Experience

11 yrs 4 mos

Total Experience

3 yrs 4 mos

Average Tenure

1 yr 3 mos

Current Experience

Thoughtspot

Member Of Technical Staff 4

Sep 2018 – Sep 2024 · 6 yrs · Greater Seattle Area

Large Scale Distributed SystemsArtificial IntelligenceNatural Language ProcessingCloudKubernetesSpark+3

Bobble keyboard

Software Developer

Oct 2015 – Jul 2017 · 1 yr 9 mos

Role and Responsibilities
Developed Android application that used facial recognition and morphing to enable creation animations from your image.
Worked on real time and historical data analysis dashboard to identify user behavior and study impact of new feature launches, using Spark, PyDash, Kafka and Cassandra.
Developed end to end machine learning systems, used in recommendation engine and facial morphing.
Worked on deep learning and neural networks based on LSTM for providing word suggestions and predictions in keyboard.

Android DevelopmentFacial RecognitionData AnalysisSparkPyDashKafka+4

Accenture

Software Engineer

Jul 2013 – Oct 2015 · 2 yrs 3 mos

Roles and Responsibilities:
Analyze and query large data sets to provide insights on client’s data privacy and protection
aspects. It was a learning opportunity for me to gain knowledge on implementation of Hadoop
and other Big data solution frameworks for performing analytics and reporting on large data sets.
As a SIEM (Security Information and Event Management) consultant, my role was to develop and deliver solutions that protect enterprise systems, applications and data by establishing policies, practices and tools that prevent unauthorized access, use, disclosure, modification or disruption. Develop and deliver solutions for organizations to gain visibility of security events within their environment.
Design and document the integration of Security Gateway with client SIEM infrastructure for secure reporting to the regional offices of client.

Data PrivacyHadoopBig Data AnalyticsSecurity Information and Event ManagementData Protection