EPAM Agenda
Java
- 10:00 AM – Welcome to TechScape 2024
- 10:15 AM – Designing AI Architecture for Java Engineers – ABHISHEK & GIRIRAJ
- 11:00 AM – Java Practice at EPAM – MANU
- 11:15 AM – 15 mins – TEA BREAK
- 11:30 AM – Components and Use Cases of AI Architecture – VIPUL
- 12:15 PM – Culture at EPAM (EPAM Overview) – MAHESH
- 12:30 PM – 10 mins – TEA BREAK
- 12:40 PM – Coding Harmony: AI-Driven Development with Ever-Present AI Pair Programmer – RAJA N (external)
- 1:30 PM – LUNCH & NETWORKING
- MC – Priyanka M
Topic – Designing AI Architecture for Java Engineers
Senior Solution Architect, EPAM India
Topic – Components and Use Cases of AI Architecture in Java
Code Therapist
Topic – Coding Harmony: AI-Driven Development with Ever-Present AI Pair Programmer
Practice Overview – Manu Sinha
Quality Engineering
- 10:00 AM – Welcome to TechScape 2024
- 10:15 AM – ‘New-Age’ Test Data Management In QE world– AI Powered and Cloud Way – AVADOOTH
- 11:00 AM – Culture at EPAM (EPAM Overview) – MAHESH
- 11:15 AM – 15 mins – TEA BREAK
- 11:30 AM – How is AI reshaping Quality Engineering? – SATYAPRASAD
- 12:15 PM – Testing Practice at EPAM – SOUMIL
- 12:30 PM – 10 mins – TEA BREAK
- 12:40 PM – The AI Advantage: How AI is Reshaping Quality Assurance – SAKSHAM (external)
- 1:30 PM – LUNCH & NETWORKING
- MC – Garima M
Lead Test Engineer, EPAM India
Topic – How AI is reshaping Quality Engineering + Demos of EPAM solutions
Practice Head – Digital Assurance & RPA, New Vision Software
Topic – The AI Advantage: How AI is Reshaping Quality Assurance
Senior Manager Consulting, EPAM India
Topic – ‘New-Age’ Test Data Management In QE world– AI Powered and Cloud Way
Practice Overview – Soumil Boradia
Data Analytics
- 10:00 AM – Welcome to TechScape 2024
- 10:15 AM – Journey from Data Asset to a Data Product – SANTHOSH
- 11:00 AM – Data Practice at EPAM – SANTHOSH
- 11:15 AM – 15 mins – TEA BREAK
- 11:30 AM – Culture at EPAM (EPAM Overview) – MAHESH
- 11:45 AM – How Gen-AI is changing the Data Engineering Landscape – NITESH
- 12:30 PM – 10 mins – TEA BREAK
- 12:40 PM – 45 mins – (ETT) TBD
- 1:30 PM – LUNCH & NETWORKING
- MC – Medha M
Director Data Analytics
Topic – Journey from Data Asset to a Data Product
Data Solution Architect, EPAM India
Topic – How is Gen-AI changing the Data Engineering Landscape?
To be decided
Practice Overview – Santhosh Kulkarni
Java
Theme – Designing AI Architecture for Java Engineers
Topic – Designing AI Architecture for Java Engineers
Speakers – Balasubramanian Srinivasan and Raja G
Topic – Components and Use Cases of AI Architecture
Speakers – Murali Rudraraju
Topic – Coding Harmony: AI-Driven Development with Ever-Present AI Pair Programmer
External Speaker – Raja Nagendra Kumar
Practice Overview – Manu Sinha
Quality Engineering
Theme – Changing Quality Engineering Landscape in the age of AI
Topic – How AI is reshaping Quality Engineering + Demos of EPAM solutions
Speaker – Prashanth Davey
Topic – ‘New-Age’ Test Data Management In QE world– AI Powered and Cloud Way
Speaker – Avdooth Panse
Topic – Disruption of a quality engineer’s role in the age of AI.
External Speaker – Anandan Kumaran
Practice Overview – Vijaykumar KN
Data Analytics
Theme – Modern Data Platforms built with AI
Topic – How Gen-AI is changing the Data Engineering Landscape
Speaker – Saranya Nedunchezhian
Topic – Journey from Data Asset to a Data Product
Speaker – Thirumalvalavan Venkatesan
Topic – Unleash Data Science Potential with Modern Data Platforms
External Speaker – Anne Grace
Practice Overview – Thirumalvalavan Venkatesan
WRITE YOUR TOMORROW IN BOLD
If you are not afraid to stand apart from the herd, explore some exciting career opportunities here:
Your Career Journey | EPAM India
Pune Speakers
Radhika Ganesan
Speaker
Vipul Gupta
Speaker
Raja N. Kumar
Speaker
Manu Sinha
Speaker
Satyaprasad Dakinedi
Speaker
Saksham Sarode
Speaker
Avdooth Panse
Speaker
Santosh Kulkarni
Speaker
NiteshChand Sharma
Speaker
Chennai Speakers
Venkat Seshshai
Speaker
Murali Rudraraju
Speaker
Raja N. Kumar
Speaker
Manu Sinha
Speaker
Prashanth Davey
Speaker
Avdooth Panse
Speaker
Thirumalvalavan Venkatesan
Speaker
Saranya Nedunchezhian
Speaker
Vijaykumar KN
Speaker
Pune – Feb 17
Java
Theme - Designing AI Architecture for Java Engineers
Topic: Designing AI Architecture for Java Engineers
Integration of AI with Java: libraries, frameworks, and tools available.
Best Practices in building AI Enabled Architecture
Topic: Components and Use Cases of AI Architecture
Introduction to the key components: data collection, preprocessing, model building, deployment, and monitoring.
Exploring Java-based tools and libraries for each component.
Use Cases for AI using Java in Development and Real-Time usage
Topic: Coding Harmony: AI-Driven Development with Ever-Present AI Pair Programmer
Practice Overview – Manu Sinha
Quality Engineering
Theme - Changing Quality Engineering Landscape in the age of AI
Topic: How AI is reshaping Quality Engineering + Demos of EPAM solutions
Topic: The AI Advantage: How AI is Reshaping Quality Assurance
What AI means for QA?
AI for QA: How AI is transforming traditional QA practices to be more proactive and intelligent?
QA for AI: How are modern AI-based applications posing new challenges for QA teams and possible solutions?
What does the Future of QA look like?
How can we as QA professionals prepare ourselves for this future?
Topic: ‘New-Age’ Test Data Management In QE world– AI Powered and Cloud Way
Practice Overview – Soumil Boradia
Data Analytics
Theme - Modern Data Platforms built with AI
Topic: Journey from Data Asset to a Data Product
Topic: Components and Use Cases of AI Architecture
Introduction to the key components: data collection, preprocessing, model building, deployment, and monitoring.
Exploring Java-based tools and libraries for each component.
Use Cases for AI using Java in Development and Real-Time usage
To be decided
Practice Overview - Santhosh Kulkarni
Speakers
Radhika Ganesan
Speaker
Vipul Gupta
Speaker
Raja N. Kumar
Speaker
Satyaprasad Dakinedi
Speaker
Saksham Sarode
Speaker
Avdooth Panse
Speaker
Santosh Kulkarni
Speaker
NiteshChand Sharma
Speaker
Chennai – Feb 24
Java
Theme - Designing AI Architecture for Java Engineers
Topic: Designing AI Architecture for Java Engineers
Integration of AI with Java: libraries, frameworks, and tools available.
Best Practices in building AI Enabled Architecture
Topic: Components and Use Cases of AI Architecture
Introduction to the key components: data collection, preprocessing, model building, deployment, and monitoring.
Exploring Java-based tools and libraries for each component.
Use Cases for AI using Java in Development and Real-Time usage
Topic: Coding Harmony: AI-Driven Development with Ever-Present AI Pair Programmer
Practice Overview – Manu Sinha
Quality Engineering
Theme - Changing Quality Engineering Landscape in the age of AI
Topic: How AI is reshaping Quality Engineering + Demos of EPAM solutions
Topic: Disruption of a quality engineer’s role in the age of AI
Topic: ‘New-Age’ Test Data Management In QE world– AI Powered and Cloud Way
Practice Overview – Vijaykumar KN
Data Analytics
Theme - Modern Data Platforms built with AI
Topic: Journey from Data Asset to a Data Product
Topic: How Gen-AI is changing the Data Engineering Landscape
Topic to be decided
Practice Overview - Thirumalvalavan Venkatesan
Speakers
Venkat Seshshai
Speaker
Murali Rudraraju
Speaker
Raja N. Kumar
Speaker
Manu Sinha
Speaker
Prashanth Davey
Speaker
Avdooth Panse
Speaker
Thirumalvalavan Venkatesan
Speaker
Saranya Nedunchezhian
Speaker
Vijaykumar KN
Speaker