Sai Varun Seemakurthi

Software Engineer

Hyderabad, Telangana, India4 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in building scalable data processing pipelines.
Developed a high-accuracy financial forecasting model.
Passionate about leveraging big data for security solutions.

Stackforce AI infers this person is a Cybersecurity and Fintech professional with strong expertise in Big Data and Machine Learning.

Contact

Skills

Core Skills

Big DataData EngineeringMachine Learning

Other Skills

Apache SparkAzure Data Lake StorageAzure Event HubsETLProblem SolvingAlgoRandom ForestsFinancial ForecastingGitLarge-scale Data ProcessingFunctional ProgrammingComplex SystemsCode ReviewSQLData Pipelines

About

I'm a professional working with Microsoft with a passion for leveraging innovative technologies to combat threats within organizations. Currently, I'm contributing to the development of an Insider Risk Management platform. This platform empowers organizations to detect, investigate, and respond to malicious activity inside their organization. My expertise in big data plays a key role in handling the massive volume of data (billions of events daily). I played a key role in building a scalable data processing pipeline utilizing technologies like Apache Spark, Azure Data Lake Storage, Azure Event Hubs, Azure Durable Functions, Azure CosmosDB, .NET Web API framework etc. Additionally, I contributed to the data layer, including the construction of an ETL process using Apache Spark. This data pipeline efficiently processes, analyzes, and delivers actionable insights to security teams, enabling them to mitigate insider risks more effectively. My 3.8+ years of experience have allowed me to continuously hone my skills in building security solutions that leverage big data for valuable insights.

Experience

4 yrs 9 mos

Total Experience

4 yrs 9 mos

Average Tenure

4 yrs 9 mos

Current Experience

Microsoft

2 roles

Software Engineer 2

Promoted

Aug 2024 – Present · 1 yr 9 mos · Hyderabad, Telangana, India · Hybrid

I'm a professional working with Microsoft with a passion for leveraging innovative technologies to combat threats within organizations. Currently, I'm contributing to the development of an Insider Risk Management platform. This platform empowers organizations to detect, investigate, and respond to malicious activity inside their organization.
My expertise in big data plays a key role in handling the massive volume of security data (billions of events daily). I played a key role in building a scalable data processing pipeline utilizing technologies like Apache Spark, Azure Data Lake Storage, and Azure Event Hubs. Additionally, I contributed to the data layer, including the construction of an ETL process using Apache Spark. This data pipeline efficiently processes, analyzes, and delivers actionable insights to security teams, enabling them to mitigate insider risks more effectively.
My 3+ years of experience have allowed me to continuously hone my skills in building security solutions that leverage big data for valuable insights.

Apache SparkAzure Data Lake StorageAzure Event HubsETLBig DataData Engineering

Software Engineer

Jul 2021 – Jul 2024 · 3 yrs · Hyderabad, Telangana, India · Hybrid

Problem SolvingAlgo

Goldman sachs

Summer Intern

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India · Remote

During my summer internship at Goldman Sachs, I had the opportunity to develop an American Option pricing forecast model using ML - Random Forests. I successfully achieved <1 basis point difference between Random Forest predicted prices and the benchmark, showcasing the model's accuracy and efficiency in financial forecasting.

Machine LearningRandom ForestsFinancial Forecasting