• Large Model development, Ranking & Retrieval, Distributed training, Model Parallelism, GPUs and NPUs.• Recommendation Multi Scenario, Multi Objective, Multi Domain, Single Model Development.• Solving Coldstart problems in users and items. Enhancing Diversity, Novelty and Fairness in Recsys• LLMs for Recommendations, finetuning for Recsys Tasks, LoRa• Multi Scenario Data Unification, Data Modelling, Feature Unification• Video Information Retrieval through CV and NLP techniques, Tags Standardization, Ontology, KG Mapping

• Research Leader for Content Recommendation (Ads, Movie, Short Videos & News)• Huawei Ads, pCTR, pCVR, oCPC, CTCVR - Metric improvements.• Candidate Generation, Ranking, Serving, Feature Engineering, Metrics Analysis and Model Optimizations.• Feature Mining through NLP, Feature Embedding techniques, Sequence Models, Collaborative Filtering, Statistical Features, • Representation Learning , Dimensionality Reduction and Feature Selection Techniques• Principal Co-Investigator for Collaborative Research Projects with Top Universities.• Creating Short Term and Long Term Research Directions and Roadmap for Recommendation Solutions.

• Lead Architect for the AI Recommendation Platform/ Content Recommendation Model Flow Platform• Various Recommendation Teams inside Huawei were the clients of this platform. This platform contains pre-developed Models and components in Java, spark(scala, python), Tensorflow. This platform aims to help a data scientist to fully focus on Data Science and not on Engineering.• Deployed Highly Available, Scalable, Resilient Algorithms and Experiments in Global Markets. Platform can serve Nx10 millions of users at a time.• Developed the model serving modules which can handle Linear and DL Models. ( Batch to Online)• This platform also include Offline Estimators and Online AB Test Frameworks for evaluation and helps Traffic Allocation decision making to deployed models.• Handled Feature Engineering, Feature Mining.• Platform was friendly to a Python, Scala, Hive, Spark ML and TensorFlow Programmer.

• Android Upgrades, Bringing up of Android Versions on old QUALCOMM Chipsets.• We upgrade the Huawei's customized Emotion UI OS on the latest Android Releases on old Chipsets.

• Technically Leading Android team in Huawei India and responsible for Product Deliveries. • Product Software Delivery Manager for Key Smartphones of Huawei.

• Architectured and delivered key solutions for various Smartphones launched in Huawei.• Architect and Developer for Huawei Cloud's Client Side Solutions, Huawei Social Network Services, PIM Services.

• Technical Leader for the NDIS-Windows-7 Datacard Porting.• Lead Developer of SyncML DM, DS, MMS, SMS for feature phones

• Developed Device Management Solution (Client Side) following OMA DM 1.2, 3GPP2 IOTA.• Developed complete SyncML Protocol Stack.• Developed MMS, SMS, PUSH, PROVISIONING Protocol Services in Rex and Windows OS.

• Developed MMS, XHTML, CSS, Wireless Village IMPS Protocols for Feature phones.

• EPABX, ISDN, E&M, Wireline Telecom• RMC reduction of EPABX boards.