Anuj Agrawal

CTO

Bengaluru, Karnataka, India5 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led AI initiatives improving system performance.
Reduced latency by 5x and boosted uptime to 99.8%.
Strong expertise in backend development and Generative AI.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the Fintech and SaaS industries.

Contact

Skills

Core Skills

Backend DevelopmentGenerative AiSemantic SearchMachine Learning

Other Skills

JavaPythonSpring BootKafkaKubernetesPysparkLarge Language ModelsMultithreadingApache ZookeeperSpring WebfluxDockerCode ReviewMultivariate Time Series ForecastingScikit-LearnKeras

About

Experienced Software Engineer and VP at Goldman Sachs with 5 years in backend development, scalable systems, and GenAI solutions. Skilled in Java, Python, Spring Boot, Kafka, Kubernetes, and Pyspark. Led AI initiatives like policy automation and natural language query conversion using LLMs (Flan-T5), and built high-throughput RAG pipelines. Improved system performance, reducing latency by 5x and boosting uptime to 99.8%. IIT (BHU) graduate with strong problem-solving skills and hands-on experience in cloud-native microservices and semantic search.

Experience

5 yrs 9 mos

Total Experience

5 yrs 9 mos

Average Tenure

5 yrs 9 mos

Current Experience

Goldman sachs

3 roles

SDE - 3 (Vice President)

Promoted

Jan 2025 – Present · 1 yr 5 mos

Experienced Software Engineer and VP at Goldman Sachs with 5 years in backend development, scalable systems, and GenAI solutions. Skilled in Java, Python, Spring Boot, Kafka, Kubernetes, and Pyspark. Led AI initiatives like policy automation and natural language query conversion using LLMs (Flan-T5), and built high-throughput RAG pipelines. Improved system performance, reducing latency by 5x and boosting uptime to 99.8%. IIT (BHU) graduate with strong problem-solving skills and hands-on experience in cloud-native microservices and semantic search.

JavaPythonSpring BootKafkaKubernetesPyspark+2

Associate

Promoted

Jan 2023 – Dec 2024 · 1 yr 11 mos

Semantic search and RAG: Worked on the architecture to use the rag module and enable question-answering for different tenants and currently, working on onboarding large-scale data to semantic search while optimizing the computation, memory, and cost with minimal impact of effectiveness.
Technologies - Java, Multithreading, Apache Zookeeper, Spring Webflux. Docker Images, etc.

JavaMultithreadingApache ZookeeperSpring WebfluxDockerSemantic Search+1

Technology Analyst - Search Engineering

Jul 2020 – Dec 2022 · 2 yrs 5 mos

Code Review

Eunimart

AI Developer

May 2018 – Jul 2018 · 2 mos · Hyderabad, Telangana, India

Worked as an intern for more than 2 months with the aim to deliver working models for sales prediction and competitive pricing using various features involving seasonality, location, econometric data, etc.
Exposure: Multivariate Time Series Forecasting, Scikit-Learn and Keras(Python Libraries), Regression using Xgboost Algorithm in AWS-Sagemaker.