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Highly detailed and technical resume outlining the professional background of a Senior Data Engineer with expertise in AI/ML, focusing on architecting and implementing advanced data infrastructure for AI workloads, including work in Generative AI and machine learning applications.
Year:
2024
Region / City:
Charlotte, NC
Field:
Data Engineering, AI, MLOps
Document Type:
Resume
Organization:
Truist Bank
Author:
Akhil
Target Audience:
Recruiters, HR, Hiring Managers in Tech Industry
Period of Validity:
Ongoing
Approval Date:
February 2024
Date of Changes:
None
Price: 8 / 10 USD
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Year:
2025
Region / City:
N/A
Theme:
Artificial Intelligence / Machine Learning, Wireless LAN
Document Type:
Technical Report
Organization / Institution:
IEEE
Author:
Xiaofei Wang, Ming Gan, Gaurang Naik, Liangxiao Xin, Federico Lovison, Ugo Campiglio, Domenico Ficara, Juan-Carlos Zuniga, Jerome Henry, Javier Contreras, Rui Yang, Alphan Sahin, Jim Lansford, Necati Canpolat, Tuncer Baykas
Target Audience:
Researchers, engineers, and professionals in the field of wireless communication and AI/ML
Period of validity:
N/A
Date of approval:
N/A
Date of revisions:
N/A
Year:
2022
Region / city:
N/A
Topic:
Artificial Intelligence, Machine Learning, NR Air Interface
Document type:
Meeting Summary
Organization / institution:
3GPP TSG RAN WG1
Author:
Moderator (Qualcomm)
Target audience:
Industry professionals, RAN1 members
Period of validity:
N/A
Approval date:
N/A
Date of amendments:
N/A
Note:
Context
Year:
2025
Region / City:
Dallas, USA
Theme:
AI/ML, 6GR
Document Type:
Summary
Organization / Institution:
3GPP
Author:
Samsung
Target Audience:
RAN Working Group 1
Period of validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2025
Note:
Region / city
Theme:
Wireless LAN, AIML
Document type:
Technical Report
Organization:
IEEE 802.11 Working Group
Author:
Xiaofei Wang, Ming Gan, Gaurang Naik, Liangxiao Xin, Federico Lovison, Ugo Campiglio, Domenico Ficara, Juan-Carlos Zuniga, Jerome Henry, Javier Contreras, Rui Yang, Alphan Sahin, Jim Lansford, Necati Canpolat, Tuncer Baykas
Target audience:
Researchers, telecommunications professionals, IEEE 802.11 community
Year:
2024
Region / city:
Sophia Antipolis, France
Subject:
AI/ML Management for 5G Networks
Document Type:
Technical Specification
Organization / Institution:
3GPP
Author:
3GPP Organizational Partners
Target Audience:
5G Network Professionals, Developers, and Researchers
Effective Period:
Not specified
Approval Date:
Not specified
Revision Date:
Not specified
Note:
Contextual Description
Year:
2023
Region / City:
Chicago, USA
Theme:
AI/ML for beam management
Document Type:
Discussion and Decision
Organization:
3GPP TSG RAN WG1
Author:
Samsung
Target Audience:
Industry professionals and companies in wireless communication technology
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Year:
2022
Region / City:
New York, NY
Topic:
Wireless LAN, CSI Compression, Machine Learning
Document Type:
Technical Report
Organization:
IEEE 802.11
Author:
Zinan Lin, Rui Yang, Xiaofei Wang
Target Audience:
IEEE members, Wireless Networking Engineers, AI/ML experts
Period of Validity:
N/A
Approval Date:
2022-11-06
Modification Date:
2022-11-16
Organization:
3GPP TSG-RAN WG1
Meeting:
Meeting #112bis-e
Document Number:
R1-230xxxx
Agenda Item:
9.2.2.2
Date:
April 17–26, 2023
Meeting Type:
e-Meeting
Source:
Moderator (Apple)
Moderator:
Huaning Niu (Apple)
Contributing Companies:
Apple; NTT DOCOMO; Qualcomm; NEC; CATT; LG Electronics; Spreadtrum; Lenovo; Samsung; CMCC; MediaTek; Panasonic; Xiaomi; Sony; Intel; AT&T; OPPO; Google; Huawei, HiSilicon; Fujitsu; CAICT; Futurewei; NVIDIA; InterDigital; ZTE; vivo
Topic:
AI/ML for CSI enhancement
Technical Scope:
CSI compression with two-sided model and training collaboration types
Document Type:
Technical meeting summary
Year:
2021
Meeting:
3GPP TSG RAN Meeting #94e
Format:
Electronic Meeting
Date:
6–17 December 2021
Source:
CMCC (Moderator)
Title:
New WID on AI/ML for NG-RAN
Work Item Type:
Study Item
3GPP Work Area:
Radio Access
Related Study Item:
880076 Study on enhancement for data collection for NR and EN-DC
Affected Specifications:
TS 38.300; TS 38.401; TS 38.413; TS 38.423; TS 38.473; TS 38.463
Target Completion:
RAN#100
Rapporteurs:
Fang Xie (CMCC); Angelo Centonza (Ericsson)
Responsible RAN WG:
RAN3
Agenda Item:
xxxx
Document For:
Approval
Year:
2025
Region / City:
Remote
Subject:
Gen AI, AI/ML, Data Engineering, Cloud Solutions
Document Type:
Professional Summary, Resume
Organization:
Verizon, Circana, Interas Labs
Author:
Srikanth Bellary
Target Audience:
C-level executives, technical teams, business stakeholders
Period of Action:
2025
Approval Date:
N/A
Modification Date:
N/A
Year:
2024
Meeting:
3GPP TSG RAN WG1 #116
Location:
Athens, Greece
Dates:
26 Feb – 1 Mar 2024
Agenda item:
9.1.3.2
Source:
Moderator (Qualcomm)
Title:
Summary#2 for Additional Study on AI/ML for NR Air Interface: CSI Compression
Document for:
Discussion and Decision
Related Work Item:
Artificial Intelligence (AI)/Machine Learning (ML) for NR Air Interface (Rel-19)
Related Technical Report:
TR 38.843
Topic:
CSI compression using two-sided AI/ML model
Scope:
Temporal, spatial, and frequency domain aspects of CSI compression
Companies involved:
Qualcomm; Lenovo; New H3C; Samsung; Indian Institute of Technology Madras; Fujitsu; vivo; SK telecom; Mavenir; Panasonic; OPPO; NTT DOCOMO; ETRI; Ericsson; ZTE; IIT Kanpur; Spreadtrum; LG; CATT; Intel; Xiaomi; AT&T; CMCC; NVIDIA; MediaTek; Futurewei; TCL
Contact information included:
Yes
Year:
2023-24
Region / City:
Nagpur
Subject:
Open Elective Courses for B.Tech. VII Semester
Document Type:
Notice
Department / Institution:
Shri Ramdeobaba College of Engineering and Management
Author:
Dr. M. B. Chandak
Target Audience:
B.Tech. students of VII semester (EN, EC, CSE, AIML, DS, Cyber Security, IT)
Action Period:
July 2023
Approval Date:
28/6/2023
Changes Date:
N/A
Context:
A notice detailing the process for selecting and registering for open elective courses for B.Tech. VII semester students at Shri Ramdeobaba College of Engineering and Management for the academic year 2023-24.
Year:
2023–2026
Region / City:
Global / Remote
Topic:
Artificial Intelligence, Machine Learning, Generative AI, Agentic Systems
Document Type:
Professional Profile / Resume
Organization:
MSR Cosmos LLC
Author:
Pavan Kumar Kotra
Target Audience:
Employers, Recruiters, AI/ML Teams
Professional Certifications:
Microsoft Azure Certified, Databricks Certified Machine Learning Professional
Key Projects:
Enterprise Chat on Structured Data (Oracle 26ai), Agentic-RAG Digital Library, Financial Assist Agent, Vinci-360 Social Analytics
Technical Skills:
LLM Optimization, RLHF, LangGraph, CrewAI, Semantic Kernel, Vector Databases (FAISS, Pinecone, Qdrant), PyTorch, TensorFlow, Azure, Docker, Kubernetes
Leadership:
Managed cross-functional AI teams of 7+ members
Year:
2026
Location:
Gothenburg, Sweden
Topic:
6G AI/ML for Radio Access Network
Document Type:
Meeting Report / Topic Summary
Organization:
3GPP TSG-RAN WG4
Author:
Moderator (Samsung)
Target Audience:
RAN Working Groups and involved companies
Agenda Item:
8.1
Preceding Documents:
RP-251881, RP-252912, R4-2601166
Meeting Number:
WG4 #118
Discussion Points:
AI/ML framework, Use case identification, LCM procedures, Data collection, Coordination with other WGs
Stage 1 Timeline:
Q4 2025 – Q1 2026
Stage 2 Timeline:
Q2 2026 – Q2 2027
Companies Involved:
Samsung, CATT, Huawei, China Unicom, vivo
Year:
2025
Location:
Athens, Greece
Topic:
NR AI/ML work in RAN4
Document type:
Meeting summary / Technical report
Organization:
3GPP TSG-RAN WG4
Author:
Moderator (Qualcomm)
Contributors:
Apple, OPPO, MediaTek, CAICT, vivo
Agenda item:
7.19.5
Document number:
R4-25xxxxx
Purpose:
Information sharing and discussion of AI/ML-based CSI prediction
Test frameworks:
CSI prediction, PMI prediction, TypeII-Doppler-r18 codebook
Evaluation metrics:
γ value comparisons, test configurations, CSI-RS resource allocation
Period:
February 17–21, 2025
Year:
Not specified
Region / City:
Austin, TX 78747 or Remote
Theme:
Technology, Engineering, CyberSecurity, Cloud Storage
Document Type:
Resume / CV
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Potential employers or clients in technology and engineering sectors
Period of Validity:
Ongoing (seeking full-time employment)
Approval Date:
Not specified
Date of Changes:
Not specified
Note:
Year
Year:
2007 – Present
Region / City:
Various Locations
Field of Activity:
Military, Security, Risk Management, Leadership
Document Type:
Resume / Curriculum Vitae
Author:
[Name]
Target Audience:
Hiring Managers, Recruiters, Military Personnel
Effective Period:
2004 – Present
Approval Date:
[Date]
Date of Last Update:
[Date]
Name:
Sumathi Jayaraj
Email:
[email protected]
Phone:
+1-925-399-8517
Professional Experience:
Senior .Net Developer
Technologies:
C#, VB.NET, .NET Core, ASP.Net MVC, .NET MAUI, Xamarin, Blazor, Angular, React, Node.js, PostgreSQL, SQL Server, MySQL, HTML, CSS, JavaScript, Typescript, GraphQL, AWS, Azure
Domains:
Health Care, Ecommerce, Financial Auditing, Clinical Examination
Methodologies:
Agile, Waterfall, TDD
Operating Systems:
Windows, Mac OS, UNIX, Linux
IDE:
Visual Studio 2022, VSCode, Android Studio, XCode
Version Control:
GitHub, GitLab, TFS, Bitbucket, Subversion
Professional Skills:
Full-Stack Development, Front-End Development, Microservices Architecture, Cloud Deployment, SQL Optimization, Mobile & Desktop Applications
Experience Period:
Oct 2019 – Present
Projects:
Edward Jones Audit Application, Lab Logs Compliance Application, PACES Clinical Exam Application
Certifications / Deployment:
Published applications on Play Store and App Store, Integrated with Azure and AWS services
Year:
2021–present
Region / City:
Bangalore, India
Topic:
Data Science, Machine Learning, GenAI, Data Analytics, Predictive Modeling
Document Type:
CV
Organization:
Collective-s, Shriram Finance, Onward Technologies, Tata Consultancy Services
Author:
Sandeep Dhekane
Target Audience:
Employers, Recruiters, Industry professionals
Period of Validity:
Ongoing
Approval Date:
N/A
Date of Changes:
N/A