Apr 2019 – Apr 2025 · 6 yrs · Bangulore · Hybrid

• AI Fulfillment Forecasting On Apple Accessories:
• ● Responsible for building software to predict the demand for supporting accessories
• for the iPhone business.
• ● Identify the highest priorities and determine which requirements are achievable and
• feasible
• ● Worked closely with the Business Team, which has divided the entire business into 4
• different geographical regions like AMR, HK, SH, and EMEIA, and identified 128
• accessories that belong to a few product category groups (brackets, cable cleaning,
• Acrylic, etc.)
• ● Created ML pipeline with Modelling, Hyperparameter Tuning, predictions on Unseen
• Data.
• ● Analyzed the behavior of monthly Time-series Data and performed Exploratory Data Analysis.
• ● Developed a Time-series Forecasting Model to predict the demand for the next 6
• months for 4 warehouse regions using ARIMA, Corston Models, and Regression Models
• , which are XGBR, MLPR, SVR, GBR, RFR, ENR, etc.
• ● Compared the Time Series & Regression Models Prediction with the best combination
• hyperparameter and saved in the Excel files.
• ● Compared to actual values and predicted values, shown in average accuracies, post-predictions are generated. Integrated the forecasted values in Py file format, which
• was deployed.
• Predicting the Claim Classification of the Insurers:
• ● Using tools like Matplotlib and Seaborn, I was able to create univariate and bivariate
• Visualizations that helped me find patterns and abnormalities in the data. Investigated
• Relationships between characteristics and DRC classifications, and looked at the
• distributions of the target variables.
• ● To guarantee consistency across features and target variables, training and test
• The datasets were combined.
• ● Category variables were encoded, date columns were transformed to numerical
• representations, and suitable imputation techniques were used to handle missing data.
• ● Used feature engineering approaches to create additional features such as 'Duration Days' and to dumb down category columns.

Nov 2018 – Apr 2019 · 5 mos · BANGALORE

• ● Developed web applications backend components while
• communicating with 30+ clients to identify their needs/goals and
• work on meeting them.
• ● Involved in the Analysis, Design, and Implementation phases of
• the entire project.
• ● Worked on the improvement of data protection and security,
• increasing the security rate 24% while creating new user
• information solutions.
• ● Trained and supervised 3 employees, Providing training
• support/guidelines.

Jan 2018 – Sep 2018 · 8 mos · Hyderabad Area, India

• Project Details:
• Porting EMBMS onto a different operating system. Which includes
• interaction among the service layer as well as the modem.
• Provisioning KAI environment to be compatible with various PMCH
• decodes with different configurations.
• Responsibilities:
• ● Implemented Perl and Python automation scripts for Bring-up
• on Kai OS and Android
• ● Created custom automation solutions for clients, ensuring that
• their specific were met
• ● Ported changes Related to 500/800/1500kbps FD is successful.
• ● Provisioned for both interleaved and non-interleaved kinds of
• DASH reception at UE
• ● Enabled UE to work for 40ms as well as 320ms with many
• repetition patterns.
• ● Checking audio/video segments based on requirements.
• ● Implemented new Functionalities for EMBMS.
• ● Involved in fetching announcement or bootstrap files required
• for TMGI activation of services.

Jul 2015 – Dec 2017 · 2 yrs 5 mos

• Project Details:
• Rimo-SRT is the Android-Nougat (7.0) and T-phone is the Android-
• Marshmallow (6.0) operating system-based mobile with
• Qualcomm Snapdragon 8972 and Snapdragon 8994 chipset, both
• have rich specifications with the most advanced features.
• ● Controlled Framework modules (video, Audio) for several Issues
• related to Interfacing, Software components parsing, Extractors
• choosing among Hardware and Software, and Audio video
• synchronization.
• ● Acquired proficiency in Audio routing & Management on
• Android systems.
• ● Acquired proficiency in Android systems including HAL and HIDL
• vendor implementation.
• ● Orchestrated on Google CTS/GTS/CTS Verifier, performed
• several tests with CTS verifier, And Involved of Camera aspects
• with CTS related Stability issues
• ● Customized several Mobile Android features for end users.
• ● Involved in fixing some Bluetooth, Telephony, Wi-Fi, and sensor
• related Issues
• ● Orchestrated on audio playback & recording issues.
• ● Used Git for version control like Status, adding, checkout,
• check-in, and code review changes.

Dec 2011 – Jun 2015 · 3 yrs 6 mos · Greater Hyderabad Area

• Working here on H.265 & H.264 video and Audio Post Processing and Audio ARM/Neon
• 3.6 Years of experience in Video, Audio, and ARM speech Codec's Development.
• Possess good knowledge and Strong experience in Development of H265 (HEVC) video Decoder.
• Troubleshooting, Analysis and fixing over video performance issues with Integration of Different modules in Codec.
• Experience in working Video Codecs such as H.264.
• Having good Optimization skills in various aspects like Cortex A9.
• Sound experience in Functional requirements, programming specifications.
• Having good programming skills using languages C, C++, Assembly language of ARM, with NEON.
• Strong background of Audio & Video Codec development in fixed point C, DSP Basics.
• Very good in Optimization, Integration of individual modules in Codec.
• Possess good knowledge of Audio, Video standards like H264, and H265.
• Excellent in Optimization and debugging skills.