(May 2018 - Present)
Software Engineer III
TV2Z INDIA DEVELOPMENT AND SUPPORT PRIVATE LIMITED
Hello,
This is SALAM SHAIK , I'm an Android Mobile, TV App Developer, Certified AWS architect, AWS Community Builder and AWS Tech Blogger.
constcoder={name:'SALAM SHAIK',skills:['Kotlin', 'Java', 'Lightning.Js', 'Android Tv', 'Bash', 'Python'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who I am?
My name is Salam Shaik, an Android mobile and TV app developer with expertise in the OTT domain and Lightning.js. I have built a strong foundation in creating innovative and scalable applications for Android devices and TV platforms. With a keen interest in cloud technologies, I am also working on cloud solutions to enhance my technical knowledge. My professional journey reflects a passion for continuous learning, combining my deep expertise in mobile and TV development with a growing interest in architecting solutions in the cloud space.
Experiences
Skills
PROJECTS
Recommendations Engine Using OpenAI Models
constproject={name:'Recommendations Engine Using OpenAI Models',tools: ['Python', 'OpenAI API', 'AWS Lambda', 'AWS S3', 'MySQL', 'AWS API Gateway],myRole:Developer,Description: I led the development and architectural design of a recommendation engine for an OTT platform, leveraging OpenAI models. Our approach involved generating content embeddings using OpenAI models and storing these embeddings on AWS S3 for efficient retrieval. To facilitate content recommendations, we utilized cosine similarity algorithms to identify content with high degrees of similarity. The results were then systematically stored in an RDS MySQL database. For content delivery, we implemented an API Gateway, which served the recommended content directly to end-users. This project required a thorough understanding of both AI technologies and cloud infrastructure, ensuring robust and scalable system performance,};AI Powered Search Engine for OTT platforms
constproject={name:'AI Powered Search Engine for OTT platforms',tools: ['Elastic Search', 'Python', 'OpenAI API', 'AWS Lambda', 'AWS S3', 'MySQL', 'AWS API Gateway],myRole:Developer,Description: I spearheaded the design and development of an advanced search engine that enhances traditional string-based searches with contextual understanding. Utilizing OpenAI models, we generated embeddings for the search content to capture the deeper meaning and context of user queries. These embeddings are stored and efficiently queried using Elasticsearch, enabling a dynamic and responsive search experience. This powerful search engine mimics human-like comprehension, allowing it to interpret queries contextually and deliver highly relevant content to users. The integration of cutting-edge AI with robust search technology significantly improves the accuracy and relevance of search results.,};Filmbox+ Android Mobile And TV App
constproject={name:'Filmbox+ Android Mobile And TV App',tools: ['Kotlin', 'Java', 'Firebase', 'Exo Player],myRole:Lead Developer,Description: This app was implemented for a client SPI Internation for both mobile and TV. It was developer in MVVM Architecture. It is an OTT streaming app. It contain all the major features what other OTT platform contains like live channels, Device managementm, On-Demand Video streaming etc.,};Film1 Android Mobile and TV App
constproject={name:'Film1 Android Mobile and TV App',tools: ['Kotlin', 'Java', 'Firebase', 'Exo Player],myRole:Lead Developer,Description: This app was implemented for a client SPI Internation for both mobile and TV. It was developer in MVVM Architecture. It is an OTT streaming app. It contain all the major features what other OTT platform contains like live channels, Device managementm, On-Demand Video streaming etc.,};Educations
2014 - 2018
B.tech(C.S.E)
Rajiv Gandhi University of Knowledge Technologies - Nuzvid
2012 - 2014
PUC I & II
Rajiv Gandhi University of Knowledge Technologies - Nuzvid
2012
Secondary School Certificate
Z.P.H.S Medikonduru
Blogs
9 months ago
9
Building a vector-based search engine using Amazon Bedrock and Amazon Open Search Service
6 Min Read
Hi everyone, For those who are thinking about what is meant by a vector, here is the definition....
10 months ago
8
4
Using DMS to replicate data from RDS(MySQL) to Open Search
5 Min Read
Hi everyone, **Scenario: **Before building anything on top of the Open Search, We need data in Open...
1 years ago
2
1
Cost saving techniques(Basic) - AWS
3 Min Read
Hi all, These are some of the cost savings techniques that I know and want to share with you all....
10 months ago
8
Deploying lambda with custom docker image
3 Min Read
Hello everyone, Scenario: Whenever I want to deploy any Python code or NodeJS code using lambda, the...
8 months ago
2
Harnessing AWS's Invoke Model State for Efficient Embedding Creation in Workflows
6 Min Read
Hi everyone, AWS recently released bedrock integration to step functions. They are providing...
1 years ago
3
Server or Serverless - How to decide- AWS
3 Min Read
Hello all, Hope all are well. When I started working on the cloud I came to know about serverless,...