Bhavya A Saraf — Software Engineer

Hi I am Bhavya. I am passionate about Mathematics, Designing Scalable systems and Big data solutions. Currently working as a software engineer with Media.net. My 4 years in the ad-tech industry, especially in the domain of Realtime bidding systems has taught me to leverage powerful Machine Learning Algorithms to intelligently solve business problems and deploy these solutions in a scalable, distributed and latency critical manner. I am proficient in Go, Python and Java. I have worked directly/indirectly on the following:- Building Highly scalable, low latency, distributed systems. (Kafka, Redis, Aerospike, MySQL).- Building Contextual systems using Large Language Models and vector stores. (qDrant, faiss and fastembed), Prompt engineering- Creating, Tuning and Evaluating Supervised Learning Models using Gradient Boosting, Deep Learning (Keras & Tensorflow),Linear Regression, Logistic Regression, Decision Trees & Random Forest, Clustering- Building big data pipelines/ applications for training, simulations and evaluation with high volumes of data. (Spark, Hive, Kafka). - Building inference systems for fetching ML/RL Model predictions in a realtime (p99 ~2.8ms) and distributed environment. (Golang, C, Java)- Containerising and deploying systems in production using Docker, Kubernetes and AWS/GCP.- Writing unit tests/ Regression tests, Logging and monitoring services using Grafana and Kibana. (Golang, Java, Python)- Implementing and evaluating new research papers/ complex Deep Learning networks in the real time bidding domain and other relevant domains. My professional interests lie in SDE/MLE roles.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the Ad-Tech industry.

Location: Bangalore Urban, Karnataka, India

Experience: 4 yrs 10 mos