Vadali Subrahmanyeshwar Sarma

CEO

Kakinada, Andhra Pradesh, India0 mo experience

Key Highlights

Passionate about Machine Learning and Data Science.
Experience in developing user-friendly Android applications.
Skilled in Python and scalable application development.

Stackforce AI infers this person is a Mobile and Software Development professional with a focus on Machine Learning.

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Skills

Core Skills

Android DevelopmentMachine LearningPython (programming Language)

Other Skills

Agile Project ManagementAlgorithm DevelopmentCloud ComputingCommunicationDistributed SystemsDjangoEthical HackingExploratory Data AnalysisFinancial AnalysisFinancial ReportingFlaskPandasPandas (Software)PostgreSQLProblem Management

About

Passionate about ML & Data Science 🔍💡 | Love solving complex problems & innovating! 🤖📊 Let’s connect! 🔗

Experience

Aicte neat

ANDROID DEVELOPER INTERN

Oct 2024 – Dec 2024 · 2 mos · Remote · Remote

Application Development: Designed and developed user-friendly Android applications, implementing features that enhance user experience and engagement through intuitive interfaces and seamless navigation.
API Integration: Collaborated with backend teams to integrate RESTful APIs, ensuring efficient data retrieval and synchronization between the application and server, which improved overall app performance.
Testing and Debugging: Conducted thorough testing and debugging of applications using tools such as Android Studio and JUnit, identifying and resolving issues to ensure high-quality deliverables and optimal functionality.
Version Control and Collaboration: Utilized Git for version control, participating in code reviews and collaborative development processes to maintain code quality and foster teamwork within an Agile environment.

Android DevelopmentSystem ArchitectureDistributed Systems

All india council for technical education (aicte)

AI-ML INTERN

Jul 2024 – Sep 2024 · 2 mos · Remote

PostgreSQLREST APIs

Chegg india

Managed Network Expert - Chemistry and Advanced Maths

Oct 2023 – Apr 2025 · 1 yr 6 mos · Remote

Salesforce

Developer

May 2023 – Jul 2023 · 2 mos · Remote

Development and Customization: Worked on customizing Salesforce applications using Apex, Visualforce, and Lightning components to meet specific client requirements.
Integration: Assisted in integrating Salesforce with third-party applications to streamline operations and data flow.
Collaboration: Collaborated with cross-functional teams to gather requirements and translate them into technical specifications, ensuring alignment with business goals.
Testing and Debugging: Conducted thorough testing of developed solutions to identify and resolve issues, ensuring high-quality deliverables.
Documentation: Created comprehensive documentation for developed features and functionalities to facilitate knowledge transfer and future maintenance.
I am passionate about leveraging Salesforce technology to drive business success and continuously seek opportunities to enhance my skills in this dynamic field.

Research Collaboration

International institute of information technology hyderabad (iiith)

Research Intern

May 2023 – Jul 2023 · 2 mos · Remote

Machine Learning

Ineuron.ai

Python Developer Intern

Apr 2023 – Jun 2023 · 2 mos · Remote

Designed and developed scalable Python applications to streamline data processing and automate repetitive tasks.
Collaborated with cross-functional teams to implement software solutions, ensuring high code quality and functionality.
Gained hands-on experience in debugging, testing, and optimizing Python code for performance and reliability.
Utilized libraries and frameworks such as Pandas, Flask, or Django to build efficient and user-friendly applications.
Documented processes and created detailed reports to support knowledge transfer and project continuity.

Problem SolvingProblem ManagementAlgorithm DevelopmentPython (Programming Language)

Verzeo

ML Research Intern

Jun 2022 – Jul 2022 · 1 mo · Remote

Conducted research and development of machine learning algorithms for predictive and analytical models.
Analyzed and preprocessed large datasets for training and evaluation.
Built and fine-tuned supervised and unsupervised learning models using tools like TensorFlow, PyTorch, or Scikit-learn.
Collaborated with cross-functional teams to deploy machine learning solutions in real-world applications.
Documented research findings and presented insights to stakeholders for project advancements.

DjangoTkinterPandas (Software)FlaskPython (Programming Language)Research Collaboration+1