Headline

Chief Architect (AI) @ Caze Labs | Agentic Process Automation | cost-sense : AI driven cloud infra observability & cost optimization | Research : Autonomous Agentic Harnesses and Persistent Memory Architectures

About

15+ years of expertise in Applied Machine Learning, Deep Learning, and Generative AI, with a robust background in Mobile Adtech, Large-scale Distributed Systems, Cloud Computing, and Wireless Communication Protocols. An inquisitive and enthusiastic AI Solutions Engineer with a proven history of designing and deploying cross-domain technology solutions and products in the ICT and Digital Advertising industries. Skilled in a broad spectrum of advanced technologies, including: #AI & Machine Learning: Expertise in supervised, unsupervised, and reinforcement learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and Generative AI models. #End-to-End ML Solutions: Proficient in designing, developing, and delivering comprehensive ML solutions, from data preprocessing to model deployment and integration. #MLOps & Automation: Strong knowledge of MLOps practices and tools, including continuous integration, continuous deployment, and automation frameworks to streamline AI workflows and ensure efficient model management. #Data Science & Big Data: Extensive experience with image processing, computer vision, natural language processing (NLP), and big data technologies (Apache Spark, Hadoop). #Cloud Platforms: Expertise in AWS - Sagemeker, service orchestration with Airflow, Google Cloud Platform and general cloud computing, ensuring scalable and robust AI solutions. #Wireless Technologies: In-depth knowledge of 3G-UMTS, LTE, IMS, and 5G technologies. #Microservices Architecture: Skilled in developing and implementing microservices architecture for scalable and efficient systems. A passionate technologist, ever curious and excited to explore the profound implications of technological recombinant innovation. Recognized for leading teams and driving projects from conception to successful deployment, ensuring significant business impact and value.

Location

Bengaluru

AI stack

antigravity

claude code

codex

cursor

deepseek

hermes agent

Work experience

Chief Solutions Architect (AI) at Caze Labs Private Limited, Dec 2023 - Present · 2 yrs 9 mos, Bengaluru, Karnataka, India, # Building Agentic RAG for Enterprises. # strong focus on promoting opensource and democratizing AI # Local Inference and Data Privacy with GenAI # Custom LLM RAG solutions for Resource constrained environments. # Causal AI Key projects and MIlestones: PureStorage - Consultant Technology solutions Architect # Served as Consulting Architect for Pure Storage’s Applied Technology Solutions Team, designing cross-industry Applied AI solutions using FlashBlade and FlashArray platforms; # leveraged Pure’s high-performance Unified flash technology to design AI based cross domain solutions. # Publish Whitepapers and Technical reference document to help drive innovation, and customer collaboration. # Developed an in-house tool - AICowriter - that leverages LLM multi-agent architecture to draft high quality technical solution documents and white papers, all completely grounded in the Research artefacts, references and document template provided by the solution engineering Team. Harman International : Consultant # Served as a AI Solutions consultant, developing a custom Enterprise solution - FOSS AI Assistant. An intelligent autonomous AI agent for BlackDuck SCA false-positive detection, designed to function as a virtual FOSS team member that automatically processes assigned JRA tickets, analyzes code snippets, Identifies False Positives usin a local LLM model + Heuristic Rule engine based Hybrid Analyzer and reduces manual review effort by >60%.

Senior Data Scientist at Sequoia Consulting Group, Oct 2022 - Jan 2024 · 1 yr 4 mos, Greater Bengaluru Area, # Unified ML platform and MLOps workflow design with Airflow and Sagemaker # HRTech focused Applied ML # Designing ML based solutions to help organizations optimize employee lifecycle and effective Benefits management. # Market PayRanges, Benchmarking # Job Levelling and Org structure

System Architect at Huawei Technologies India, Oct 2020 - Oct 2022 · 2 yrs 1 mo, India, Summary: As a founding member and Vice SL of Venus Creative Ads platform, working on building an elite Engineering Research Team; Performing Market Research and competitor analysis for Ads Creative Platform to Draw the service Roadmap, Develop and deliver industry leading tools for image and Video Ads Creation, Build strong foundations, Engineering practices and Reusable frameworks to optimise Development efforts; Engineering capability improvements and grooming of members, Research and identify ML and deep learning algorithms to enhance Venus' Intelligent AdGen and creative copywrite content Gen features. Responsibilities: > Owner and MDE for CreativeAlgorithm micro-service > Committer for Venus Repo > Complete DevOps and MLOps ownership for Venus - Research and build robust pipelines to enhance Dev effeciency > Team building, Engineering capability improvement, Training and grooming of new members > Research on image processing, CV, NLP Algorithms, develop functional POC, version integration and production release. > Production deployment owner for China, EU, AAL & APAC Regions > service performance optimise - Build distributed, scalable and low latency services Milestones and Key Deliverables: > Video AdGen solution design and delivery - supports 100+ unique templates, auto thumbnail generation and avg. service response times <3 seconds. Users can choose from 4 VideoAd dimensions, and 4 different durations. > Intelligent Drawing Feature for Banner Ad generation - supports over 11 styles, 9 Dimensions, custom fonts, and avg. response time <4 seconds for batch of 16 images. > implemented service APIs supporting Advertiser specific DPA and UAC type Ad Campaigns, with overall response time <300ms 4m+ avg. reqs served / mo After UAC service deploy, CTR improved by over 20% > Auto image clipping service - placement rate increased over 8%, creative tool usage rate increased 5% > implemented Daemon batch process and MEP Models- service perf. up by ~60%

Senior Technical Lead at Huawei Technologies India, Apr 2018 - Oct 2020 · 2 yrs 7 mos, Bengaluru, Karnataka, India, Service Owner, Guiding and Mentoring Team members to build and deliver class leading services and platform. > Requirement Analysis: Study and understand the Requirement spec, derive all dependent and non-functional requirements, confirm the expected behavior & produce a detailed feature requirement. Discuss with all stakeholders including Test andPrepare a clear implementation plan with a fair effort estimate. > Development: clearly capture Function overview, Requirement feasibility analysis, constraints (ifany), Usecases, sequence Diagram, system interaction (Frontend, Backend, Algorithm), Exception Handling. Provide clear API definition, and signature, DB design, as applicable.Arrange Design discussion / Review meets with all stakeholders including Test. Implement the feature requirement with high quality, ensuring compliance with the Huawei Clean Code Guidelines, Huawei Secure coding guideline and general Software Design best practices (SOLID), security redlines, and always ensure no violations. DevTesting – Unit Testcases and also functional test. > Version Release and quality: Handle and process AR flows.Version build and release, with all the necessary sanity checks, Release notes, and other release artifacts. Managing Build and deploy envs, cloudDragon pipeline build, Production build, deployment and support for live issues debugging, Quick Issue analysis and resolution. DTS handling complying with DTSguidelines and SLA, Performance optimization, and Feature enhancement (enrich end user experience). Good understanding of the E2E cloud services development and release Lifecycle & ecosystem involving different cloud service platforms and Tools -iOne, WiseDevOps, WiseEye, CloudDragon, CloudDesign, configcenter, IAC, MEP, MTP, ROMA, COdeHub, DTS, Dbox, P-Link, Dev tools and quality tools –static check tools – codecheck, Fossbot, codedex. Perform code review (Hicode,) and provide quality comments, regular trainings knowledge sharing with Team Members.

Technical Project Lead at Huawei Technologies India, May 2010 - Apr 2018 · 7 y 11 mo, Bengaluru Area, India, Summary: Lead the Communications Protocol Lab team. Responsible to ensure Handset protocol conformance, Radio and telephony customisation, field issue fix, design and deployment of R&D lab test environments emulating overseas operator network conditions. plan and execute competency improvement plan. Interaction with RO, Qualcomm CE group, and R&D stakeholder management. Responsibilities: > Analyze and implement the protocol requirements for the customisation versions. > Responsible for identifying all the common market issues(protocol issues) reported across all the Handsets and markets and baselining the fixes to all the different product branches. > Owner for VoLTE, VoWIFI and UT modules for Qualcomm, msm8939, msm8952, msm8953, msm8940 chipsets and in-house Kirin (6XX series and 9XX series) chipsets used in Huawei devices. Expertise in MCFG feature of QULCOMM chipsets - msm8939 > Owner of Internal R&D lab network env, responsible for Critical market issues reproduction using internal lab network and network simulators, log analysis and provide timely fix. Milestones and Deliverables: > Delivered 2 Base ROM versions, 800+ customisation versions > Design and Deploy of Start of the art, R&D lab Network with 3G, LTE and IMS core networks and deploying all Services on the Network like, VoLTE, CSFB, UT, USSD, Conference call, SRVCC, VoWiFi services, data and multimedia services. Provided network coverage in all R&D areas, improving development efficiency by 30%. 350+ PLMNs direct supported. Reduced dependence on operator network, field issues reduced from >3 to <1 per ver. Onsite travel expenses reduced by 70%, Commercial SIM expenses saved over 3L/mo. > proposed and procured Network simulators - CMW500 and Anritsu8470B > applied and obtained all the relevant Radio spectrum licenses from the DoT, Govt. of India. > Setting up the IoT test environments for all the Global Big-T operators for Product Self-Certification. > Setup of state-of-the-art Shield box env.

Education

Master of Technology - MTech, Machine Learning and Data Science, PES University

BE, Telecommunications Engineering, APSCE