Hariram Veeramani
UCLA| AI/ML| Apple| CEG
- Role
- Engineer at Apple
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Hariram Veeramani
MLE with 4+ years of experience working in cutting edge AI systems, distributed data intensive, high performant/available applications with contributions to empirical AI/ML research.TL DR: I am an AI Researcher with research interests geared towards Multimodal learning, Information Retrieval, Search, Natural Language Understanding (NLU), Dialogue Understanding, Commonsense Reasoning, Universal Representation learning with Academic publications in venues such as ICDM (Recsys), ICASSP, InterSpeech, AACL,EACL, NAACL, COLING, LREC and Industrial Experience Productizing AI/ML powered applications across billions of products.Hello!This is Hari, I am interested in pursuing a career focused on Applied Science -AI/ML and distributed systems powering impactful large scale products. My work at Apple would help me to learn skills and streamline efforts in AI/ML, Data science/mining, Software Development. Prior to this, I worked at Qualcomm, where I was part of the team who played a key role in the inception phase of integrating communication and ML based solutions to our backend system development efforts enabling Mobile communication, Performance Tuning later deploying and continuous improvement of the infrastructure. I also actively participated in internal Machine Learning Competitions and Challenges.My area of research includes:Speech Recognition, Natural Language Processing (NLU/ NLG), Secure Trustworthy Privacy Preserving ML, On Device (AI/ML), and Statistical Signal Processing. I am also interested in building data intensive Large scale distributed systems powering modern society. My coursework spanning Core Machine Learning(AI/ML) to Distributed Backend/ Database Intensive systems helped me to apply, implement and evaluate State of the Art techniques proposed in Top Conferences such as ACL, NAACL spanning wide range of problems from Recommendation system to Social Media Network Graph Analysis Algorithms utilising Pytorch and Tensorflow. List of Conferences that I regularly follow- Interspeech, EMNLP, ACL, NAACL, ICLR, ICML, ICASSP, IJCAI, NeurIPS. Venues that I have previously published & contributed to ICDM (Recsys), ICASSP, InterSpeech, AACL,EACL.I am interested in the development of Software systems/algorithms/AIML Modeling Efforts in the areas of Distributed Computer Systems and excited to apply Artificial Intelligence/Deep Learning/Machine Learning techniques to make these systems better.
Experience
Engineer
Apr 2023 — Present · CA, US
Education
College of Engineering, Guindy
Bachelor's degree, Computer Engineering
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