Adithya Mathialagan

Software Engineer

India2 yrs 4 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Strong foundation in AI, ML, and Data Science.
Hands-on experience in full-stack development.
Proven ability to analyze and visualize data effectively.

Stackforce AI infers this person is a Data Science and Software Development professional with a focus on AI and ML applications.

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Skills

Core Skills

Software DevelopmentData ScienceMachine LearningWeb Development

Other Skills

Python (Programming Language)Full-Stack DevelopmentTeamworkBERTTorchTransformersJavaScriptReactJSReduxD3 Graph LibraryGraph DatabasesSQLSnowflakeArtificial Intelligence (AI)Natural Language Processing (NLP)

About

Computer Science engineer with a robust skill set in software development, fueled by a profound enthusiasm for advancing research in Data science, Artificial Intelligence (AI), Machine Learning (ML), and GenAI. My goal is to contribute to cutting-edge developments in Data Science, AI, ML, and GenAI. With a keen eye for innovation, I aspire to leverage my expertise and passion for building meaningful solutions to make a positive impact on people's lives. I am enthusiastic about embracing challenges and driving advancements in the realms of technology and research. I specialize in utilizing AI/ML algorithms to construct data-driven models and create impactful visualizations. Backed by industry experience in both front-end and back-end development, I possess a solid foundation in Computer Architecture and Data Structures. Software Development and Programming: Python, C, C++, JavaScript and FastAPI Data Structures & Algorithms, Operating Systems, Computer Networks, Git, Cloud Computing. AI and ML: NumPy, Pandas, TensorFlow, Deep Learning, Streamlit, Torch, Transformers. Data Analysis: App Click Analysis, Funnel Analysis, Sankey Diagrams, D3 graphs, Matplotlib. Web and App Development: HTML, CSS, ReactJS, NodeJS, React Native, MERN Stack. Datastore: DBMS, MySQL, MongoDB, Key-Value Store, AWS S3, TigerGraph and Snowflake

Experience

2 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Apple

2 roles

Software Development Engineer

Jul 2024 – Present · 1 yr 11 mos · Hyderabad, Telangana, India · On-site

Software Engineering Intern

Jan 2024 – Jun 2024 · 5 mos · Hyderabad, Telangana, India · On-site

Python (Programming Language)Full-Stack DevelopmentSoftware Development

Mresult

2 roles

Data Science Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Funnel Analytics - Performed funnel analysis for click events in a mobile application, utilizing Python for data extraction, transformation, and visualization.
Generated funnel charts to analyse a series of user events during app sessions, providing valuable insights on user experience and user retention. Actively participated in daily Scrum calls, collaborating with the team to share progress updates and address any challenges or roadblocks.

Python (Programming Language)TeamworkData Science

Data Science Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

MedRank Application - An application aimed to expedite the speed of literature reviews by reducing the number of manually processed abstracts using State-of-the- art Machine learning models. Designed and developed a user-friendly interface that allowed users to input queries easily and made API calls to PubMed to retrieve relevant articles.
Implemented a machine learning model using technologies such as BERT, Bio, torch, and transformers, which effectively ranked the retrieved articles based on their relevance and presented it in a user-friendly manner. Worked with other concepts like GPT-3, Document comparison and generative AI.

Python (Programming Language)TeamworkMachine Learning

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Machine Learning Engineer - Mentorship

Jan 2023 – Jul 2023 · 6 mos · Remote

Mentorship Program - Gained valuable insights into best practices in coding from IBM industry experts and performed extensive exploratory data analysis (EDA) to understand the characteristics and distribution of the images in our dataset and worked on addressing class imbalances.
Implemented data augmentation techniques to ensure sufficient training data for each class, performed image preprocessing, applying techniques like adaptive Gaussian thresholding and contour detection to improve image quality and eliminate noise effectively and implemented Deep learning models like VGG-16, VGG-19, Resnet and Efficient-Net.

Python (Programming Language)TeamworkMachine Learning

Constant therapy health

Software Engineering Intern

May 2022 – Aug 2022 · 3 mos · United States · Remote

Efficacy Portal Implementation - Developed a web application for helping people suffering from health and neurological conditions using ReactJS, Redux, and D3 Graph Library. Improved the UI/UX and made API calls for data retrieval.
Modernized older web reports and gained experience with React Hooks and responsive styling. Acquired hands-on experience with Amazon Web Services and Cloud Computing during the internship. Was a part of Project Scrum Planning discussions, daily stand-up meeting for day-to-day interaction with the business and development team.

JavaScriptTeamworkWeb Development