Nitesh Kumar

Senior Technical Architect with 15+ years of software engineering experience, specializing in designing scalable and high-performance generative AI systems. Proven expertise in delivering end-to-end solutions from complex data ingestion to robust model deployment. Adept at developing AI strategies aligned with organizational goals, leading the development of generative models including transformers and Large Language Models (LLMs), and continuously evaluating new tools and techniques to advance enterprise software product capabilities.

Senior Architect at Nokia (2023-04 – Present)

• Designed scalable and high-performance generative AI systems as measured by 100% feature delivery across 5+ modules, leading the development of generative models and large language models (LLMs) for MantaRay SON and SMO automation workflows.
• Architected end-to-end solutions from data ingestion to model deployment as measured by 30% KPI improvement, ensuring reliable, high-throughput AI inference for Non-RT RIC rApps (e.g., Slice Congestion Mitigation) and seamless integration with existing software products.
• Developed AI strategies aligned with organizational goals as measured by successful enterprise rollout, continuously evaluating new tools and techniques in AI capabilities to drive product innovation in autonomous networks.
• Stayed abreast of the latest advancements in the field to implement state-of-the-art transformers and GenAI architectures, mentoring engineering teams on high-performance model serving for feature development and RCA defect processes.

Senior Technical Architect at STL - Sterlite Technologies (2019-04 – 2022-12)

• Led the development of scalable and high-performance software products as measured by 30% faster R&D evaluations, integrating advanced ML techniques and preparing platforms for generative AI adoption within the 5G O-RAN SAI lab.
• Built robust data ingestion pipelines and model deployment architectures as measured by 8+ patents and 20+ CRs, enabling high-performance model serving across multi-vendor O-RU/O-DU/O-CU cloud environments (Kubernetes/Docker).
• Evaluated new tools and techniques in data processing and orchestration, translating technical capabilities into AI strategies aligned with organizational goals for Non-RT RIC rApps and M-Plane/O1 conformance.

Manager: Testing/POC at Tata Communications (2018-06 – 2019-04)

• Optimized end-to-end solutions as measured by 40% reduced validation cycle time, ensuring high-performance system integration and deployment across 10 cross-functional teams.
• Drove proof-of-concepts through to production as measured by 30% performance improvement in field trials, refining architectures based on live feedback and operational constraints.

Senior Analyst: Telco at CEMtics (2016-12 – 2018-06)

• Deployed ML-powered engines as measured by production deployment across 3+ customers, architecting scalable and high-performance data processing and model deployment pipelines using Python.
• Built robust data ingestion frameworks as measured by 40% CX improvement for Airtel, ensuring high-quality data pipelines for advanced analytics and model training.
• Developed production ML-powered RCA engine deployed across 3+ customers for alarm

Senior Engineer at Amdocs (2015-12 – 2016-11)

• Accelerated AT&T VoLTE/LTE rollout to 800+ sectors/month with 15% TNKY KPI
• Executed network planning and parameter optimization cycles aligning telecom business

Senior Engineer at Ericsson (2010-06 – 2015-12)

• Developed data ingestion and process automation frameworks across 16-country programs, establishing foundational expertise in scalable architecture and Python scripting.
• Executed critical 4G LTE RAN feature engineering (VoLTE, CA, TTI Bundling, 2C/3C) for
• Automated Ericsson network planning and PM analysis platforms (Business Objects, RAN

M.Tech in Microelectronics – BITS Pilani

B.Tech in ECE – Vellore Institute of Technology (2006-06 – 2010-06)