resume.json

{
  "meta": {
    "theme": "elegant"
  },
  "basics": {
    "name": "Sandilya Bhamidipati",
    "label": "Engineering Leader at Adobe",
    "image": "https://secure.gravatar.com/avatar/268186232a20e762ec60ce56da748b2a",
    "summary": "Engineering leader with an experience of 14+ years in people management and software engineering. I have managed engineering teams building search, recommendation and predictive analytics services. My work has been published at various top-tier machine learning conferences as well as contributed to 40+ patents. I am interested in building engineering solutions in the areas of Applied Machine Learning, Data mining, Distributed Systems and Distributed Databases.",
    "website": "https://www.sandilya.com",
    "email": "ssbozy@gmail.com",
    "location": {
      "city": "Milpitas , California",
      "countryCode": "US"
    },
    "profiles": [
      {
        "username": "ssbozy",
        "url": "https://www.linkedin.com/in/sandilya-bhamidipati/",
        "network": "LinkedIn"
      },
      {
        "url": "https://github.com/ssbozy",
        "username": "ssbozy",
        "network": "github"
      }
    ]
  },
  "education": [
    {
      "startDate": "2007-09-01",
      "endDate": "2010-01-01",
      "area": "Computer Science",
      "studyType": "Master of Science",
      "institution": "Rutgers, The State University of New Jersey"
    },
    {
      "startDate": "2002-08-04",
      "endDate": "2006-05-01",
      "area": "Computer Science and Engineering",
      "studyType": "Bachelor of Technology",
      "institution": "Jawaharlal Nehru Technological University"
    }
  ],
  "skills": [
    {
      "keywords": [
        "HTML / JSX",
        "CSS",
        "Javascript / Typescript",
        "React",
        "Redux"
      ],
      "level": "Senior",
      "name": "Frontend"
    },
    {
      "keywords": ["Node", "Python", "MySQL", "Redis", "MongoDB", "ElasticSearch"],
      "level": "Senior",
      "name": "Backend"
    },
    {
      "keywords": ["PyTorch", "Keras", "scikit-learn"],
      "level": "Senior",
      "name": "Applied Machine Learning"
    },
    {
      "keywords": ["AWS", "Heroku", "Azure"],
      "level": "Senior",
      "name": "Devops"
    }
  ],
  "awards": [
    {
      "title": "Associate Member, Technicolor Fellowship Network",
      "awarder": "Technicolor",
      "date":"2015-06"
    }
  ],
  "work": [
    {
      "summary": "I manage a team of engineers and researchers across multiple Adobe teams in the design, architecture and development of AI powered assistive and search features within multiple Adobe Products like Adobe Express, Creative Cloud Mobile apps. I am responsible for leading the team to drive projects from idea formulation, to design, implementation, code performance and analytics. Apart from my software responsibilities towards my team, I am responsible for ",
      "website": "https://www.adobe.com/",
      "name": "Adobe",
      "location": "San Jose, CA, USA",
      "position": "Senior Engineering Manager, Search and Sensei",
      "startDate": "2020-01-01",
      "highlights": [
        "Setting team strategy and be accountable for team plans and deliverables",
        "Grow and build a strong, healthy, and diverse team through hiring, as well mentoring and coaching",
        "Collaborate with other engineering teams and cross-functional teams", 
        "Provide strong technical leadership to the team and partner teams"
      ]
    },
    {
      "summary": "I am part of the Adobe Sensei Intelligent Agents group working to provide assistant like features to Adobe Creative Cloud products. I was also leading a cross functional group made up of Adobe Sensei, Adobe Creative Cloud and Adobe Research in developing an Assistant Framework for the deployment within Adobe products. I was responsible for architecture, technology stack, analytics, service deployment and release cycles. Our team deployed and tested multiple end user facing assistant features into Adobe Illustrator through early release alphas.",
      "website": "https://www.adobe.com",
      "name": "Adobe",
      "location": "San Jose, CA, USA",
      "position": "Senior Software Engineer/Tech Lead",
      "startDate": "2018-02-05",
      "endDate": "2019-12-21",
      "highlights": [
        "Python flask and fastapi based machine learing services",
        "React, React-redux, React-sagas, Node.JS based frontend apps",
        "Managed Docker / AWS / Azure based deployments",
        "Overall ML System Architecture",
        "Launching products from whiteboard to production systems"
      ]
    },
    {
          "summary": "I managed a team of researchers and engineers to create artificial intelligence based solutions for predictive analytics and recommendation systems. I was responsible for designing and developing algorithms for predictive user analytics. I was also the System Architect, Lead Engineer and focal point for all engineering activities.",
          "website": "https://www.technicolor.com",
          "name": "Technicolor",
          "location": "Palo Alto, CA, USA",
          "position": "Project Lead/Architect",
          "startDate": "2014-10-01",
          "endDate": "2018-02-02",
          "highlights": [
            "Scalable predictive analytics platform for real time resource utilization analysis",
            "Recommendation systems design, developement and deployment",
            "User privacy preserving mechanisms for recommendations and analytics",
            "Python flask and fastapi based machine learing services",
            "Published critical results at SIGGRAPH and IEEE"
          ]
    },
    {
          "summary": "I was primarily responsible for designing, devoloping and deploying Machine Learning based solutions in the areas of content discovery and recommendation systems on edge computing devices, TV’s and digital media receivers worldwide. This work was published in major artificial intelligence and machine learning conferences.",
          "website": "https://www.technicolor.com",
          "name": "Technicolor",
          "location": "Palo Alto, CA, USA",
          "position": "Research Engineer",
          "startDate": "2011-01-17",
          "endDate": "2014-10-01",
          "highlights": [
            "Content discovery through minimal interaction", 
            "Recommendations based on the content (Mood based recommendation)",
            "Content discovery based on user context",
            "Social media analytics for advertising",
            "User privacy (Preserving user privacy while consuming content)",
            "Published at  ICML’13, AAAI’13 and NIPS’12."]
    },
    {
          "summary": "Built an efficient wikipedia based semantic interpreter by exploiting top-k processing. The result of this work was published at ACM CIKM' 10. Responsible for designing the algorithm, software development and deployment.",
          "website": "https://www.technicolor.com",
          "name": "Technicolor",
          "location": "Princeton, NJ, USA",
          "position": "Research Intern",
          "startDate": "2010-01-06",
          "endDate": "2010-12-20",
          "highlights": [
          ]
    },
    {
          "summary": "I worked as a UNIX/Oracle/SAP consultant for Shell (Oil) Information Technology. I was resposible for cluster migration, database migration, backup and recovery on worldwide Shell servers. Other related work areas include SAP support and Oracle 9i/10g query processing. As a project engineer, I was responsible for designing and building a poll/survey platform for the entire organization. Human Resources department’s goal was to use the tool to interact with their employees and get realtime feedback on various company related policies and events",
          "website": "https://www.wipro.com",
          "name": "Wipro",
          "location": "Bengaluru, Karnataka, India",
          "position": "Project Engineer",
          "startDate": "2006-07-21",
          "endDate": "2007-07-05"
    }
  ],
  "publications": [
    {
      "name":"Efficient wikipedia-based semantic interpreter by exploiting top-k processing",
      "publisher": "ACM CIKM",
      "releaseDate": "2010-10-01",
      "url": "https://dl.acm.org/doi/abs/10.1145/1871437.1871736"
    },
    {
      "name": "Wikipedia-Based Semantic Interpreter Using Approximate Top-k Processing and Its Application",
      "publisher":"JUCS - Journal of Universal Computer Science 18(5)",
      "releaseDate":"2012-03-01",
      "url":"https://lib.jucs.org/article/23166"
    },
    {
      "name":"Learning to Discover: A Bayesian Approach",
      "publisher":"NIPS Workshop on Bayesian Optimization and Decision Making",
      "releaseDate":"2012-12-01",
      "url":"https://www.semanticscholar.org/paper/Learning-to-Discover-%3A-A-Bayesian-Approach-Wen/486a836482be6473cf6bbce60135e6fbf4ee3a66"
    },
    {
      "name":"How to Hide the Elephant - or the Donkey - in the Room: Practical Privacy Against Statistical Inference for Large Data.",
      "publisher":"IEEE",
      "releaseDate":"2013-12-01",
      "url":"https://ieeexplore.ieee.org/document/6736867"
    },
    {
      "name":"Sequential Bayesian Search",
      "publisher":"International Conference on Machine Learning(ICML)",
      "releaseDate":"2013-06-01",
      "url":"https://proceedings.mlr.press/v28/wen13.html"
    },
    {
      "name":"Minimal Interaction Search: Multi-Way Search with Item Categories.",
      "publisher":"AAAI",
      "releaseDate":"2013-07-01",
      "url":"https://www.researchgate.net/publication/290055133_Minimal_interaction_search_Multi-way_search_with_item_categories"
    },
    {
      "name":"PriView: Media Consumption and Recommendation Meet Privacy Against Inference Attacks",
      "publisher":"In IEEE Web 2.0 Security and Privacy Workshop (W2SP)",
      "releaseDate":"2015-06-30",
      "url":"https://ieeexplore.ieee.org/abstract/document/7140690"
    },
    {
      "name":"Managing your private and public data: Bringing down inference attacks against your privacy",
      "publisher":"IEEE Journal of Selected Topics in Signal Processing (JSTSP)",
      "releaseDate":"2015",
      "url":"https://dblp.org/rec/journals/jstsp/SalamatianZCBFK15"
    },
    {
      "name":"From VFX Project Management to Predictive Forecasting",
      "publisher":"ACM SIGGRAPH",
      "releaseDate":"2017",
      "url":"https://dl.acm.org/doi/abs/10.1145/3084363.3085036"
    }
  ]
}