Prasad Seemakurthi

CEO

Bengaluru, Karnataka, India14 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-Founder and CTO of a Stealth AI Startup.
Expertise in machine learning and data science.
Led development of scalable data platforms at Compass.

Stackforce AI infers this person is a SaaS and Fintech expert with strong data engineering and machine learning capabilities.

Contact

prasad.seemakurthi@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringMachine LearningProject Management

Other Skills

ALFRED- Accidental & Death Claims AutomationAndroidAntenna mScriptApache SparkBig DataBusiness IntelligenceBuy Now Pay LaterCC++CRMCallidusConsultingConversational AICore JavaCustomer Relationship Management (CRM)

About

As the Co-Founder and CTO at a Stealth AI Startup, my expertise in data science and machine learning drives our mission to revolutionize industry standards with cutting-edge AI solutions. Our team's focus on Conversational AI and Big Data has enabled us to create intuitive, intelligent systems that cater to nuanced user needs. With a solid foundation in ML instruction, I continually hone our platform's capabilities and effectiveness. Previously, leading the ML/AI, Knowledge Graph, and Data teams at Compass, I spearheaded the development of scalable data platforms and microservices that significantly enhanced client-facing products. This role capitalized on my competencies in ML observability and engineering, employing technologies like Databricks, Spark, and Vector databases to ensure robust data quality and governance. Our efforts empowered agents with personalized, seamless experiences, showcasing my commitment to delivering solutions that merge innovation with user-centric design.

Experience

14 yrs 10 mos

Total Experience

1 yr 7 mos

Average Tenure

3 yrs 4 mos

Current Experience

Stealth ai startup

Co-Founder & CTO

Feb 2023 – Present · 3 yrs 4 mos

Compass

Head - ML/AL, Knowledge Graph and Data

Nov 2021 – Jan 2023 · 1 yr 2 mos

Leading and Building Knowledge Graph, Data pipelines, processing and storing in Lakehouse. This includes building platform for data processing (batch and real time), discovery, lineage, quality, observability and governance.
Building Microservices using data lake house. Building highly scalable Microservices for client facing product.
Leading ML observability, ML Engineering and Knowledge Graph (using Vector DB )
Databricks, Spark, NoSQL databases, Distributed SQL databases,DBT, Vector databases, OpenAI & Hugging face libraries for NLP use case, Github Actions, GitHub Copilot, GitHub Copilot X,
SQL, NOSQL, Distributed SQL, HTAP DB's · Data Quality, Graph Databases ,Telemetry/Operational/Business Data . DBT, Spline , Open Data Hub

Statistical ModelingEngineering ManagementRecommender SystemsConversational AILLMsProject Management+3

Scaler

ML Instructor

Sep 2021 – Present · 4 yrs 9 mos

Data Engineering

Navi

All things data

Mar 2020 – Sep 2021 · 1 yr 6 mos · Bangalore Urban, Karnataka, India

First hire on the team and built the entire Data Team from the ground up.
Responsible for rolling out all ML models related to Underwriting, Fraud, and improving the marketing funnel.
Leveraged Text data via NLP for improving different aspects of the credit and fraud
Onboarded Databricks as a vendor for the data management and ML use cases.

Statistical ModelingEngineering ManagementData EngineeringProject ManagementEngineeringMachine Learning

Springboard

ML instructor

Jun 2019 – Jun 2021 · 2 yrs

Data Engineering

Greyatom school of data science

Mentor - Machine learning

May 2019 – Apr 2021 · 1 yr 11 mos

Data Engineering

Upgrad.com

Data Science Mentor

Feb 2019 – Dec 2020 · 1 yr 10 mos

Grab

All things Data

Jan 2019 – Mar 2020 · 1 yr 2 mos

Statistical ModelingEngineering ManagementData EngineeringProject ManagementEngineering

American express

Manager - Data Scientist

Oct 2016 – Jan 2019 · 2 yrs 3 mos · Phoenix, Arizona Area

Statistical ModelingEngineering ManagementProject ManagementEngineeringData Engineering

Edf trading

Data Scientist

Jan 2016 – Oct 2016 · 9 mos · Houston, Texas Area

Statistical ModelingEngineering ManagementProject ManagementEngineeringData Engineering

University of virginia

2 roles

Graduate Teaching Assistant

Jan 2015 – Apr 2015 · 3 mos · Charlottesville, Virginia Area

Graduate Teaching Assistant for graduate level Statistical Machine Learning (Stat 5630)
Built an automatic score evaluation system

Graduate Student - Data Science

Jul 2014 – May 2015 · 10 mos · Charlottesville, Virginia Area

Course Work:
Data Mining
Machine Learning
Linear Predictive Models
Data Science (includes visualizations, supervised and unsupervised learning, probabilistic modeling)
Information Retrieval
Data Mining
Machine Learning
Time Series Analysis
Big Data

Statistical ModelingProject ManagementData Engineering

International school of engineering

Student

Oct 2013 – Feb 2014 · 4 mos · Hyderabad Area, India

Studied
Regression Techniques,
Classification Techniques,
Predictive Analytics,
Optimization, Text Analytics and Web Analytics

Cognizant technology solutions

2 roles

Technical Analyst(CRM)

Oct 2011 – Mar 2014 · 2 yrs 5 mos

Worked as one of the module leads responsible for Design , Develop and Delivery of a MEAP (iPad) for Pharma major based out of Europe .This is the first of its kind of implementation for Cognizant and the customer which automates the Sales force to make an update on the move.
The design involves integration with existing CRM system (Siebel CRM) via the webservices and creation of intuitive UI/UX using proprietary Antenna M script and native iOS .

Programmer Analyst

Oct 2010 – Dec 2011 · 1 yr 2 mos

working on the mobile technologies like android and iPhone and information technology

Project Management

Leo impact security service

Security Engineer/Admin

May 2010 – Aug 2011 · 1 yr 3 mos

Working with various Zero Day Attacks and delaing with Remote Adminstration Tools and creation and identification of various virus and Creation of the FUD virus