Headline

Driving AI while being Self-Driven | Goldman Sachs | Ex. SDE-2 at Morgan Stanley | MNNIT Allahabad (CSE’21)

About

Failing fast and getting things done, working hand in hand with AI. Currently, getting Global Margin Trade Data consumption sorted for Goldman Sachs using AI and distributed Big Data tech systems across listed derivatives, OTC, Fx swaps enabling seamless trade clearing and settlement. In my stint at Morgan Stanley, rolled out a firm-wide centralised ETL system for ingesting gigabytes of brokerage fees and account deposits for all MS global banking brokerage clients. Developed an innovative load-balancing microservice that enabled the processing of trade volumes in billions. Proving through building and keeping things simple

Location

Bengaluru

AI stack

claude code

github copilot

langchain

githubcopilot

ChatGPT

Google ADK

Work experience

SDE-2 at Goldman Sachs, Jun 2024 - Present · 2 yrs 3 mos, Bengaluru, Handling Tech for Goldman Sachs Global Margins Vertical

Sr. Tech Associate (SDE-2) at Morgan Stanley, Jan 2023 - May 2024 · 1 yr 5 mos, Bengaluru, Developed a high-performance ETL microservice using Spring Batch, achieving a 5x speed increase and reducing RAM usage by 80%. Integrated Kafka, Prometheus, and Grafana for improved data handling and observability, setting a firm-wide benchmark. Recognized with the Morgan Stanley GRIT Award for technological innovation

Technology Associate at Morgan Stanley, Jan 2022 - Dec 2022 · 1 yr, Bengaluru, Karnataka, India, Architected a dynamic load distribution microservice, enhancing trade volume capacity by 3x with auto-scaling across VMs. Modernized CI pipelines with Sonar integration and revamped testing with JUnit5 and Mockito, expediting the SDLC. Pioneered a versatile service, widely adopted for optimized load distribution.

Technology Analyst at Morgan Stanley, Aug 2021 - Dec 2021 · 5 mos, Bengaluru, Karnataka, India, Completed Morgan Stanley's rigorous 16-week TAP training, specializing in technologies like Java, C#, and Angular within agile frameworks. Spearheaded and showcased an observability project using Prometheus and Grafana, creating tailored dashboards for JVM and custom business metrics

Technology Analyst Intern at Morgan Stanley, May 2020 - Jul 2020 · 3 mos, Mumbai, Maharashtra, India, As a Summer Intern, I developed an NLP-driven chatbot using Stanford CoreNLP-API for seamless log retrieval, streamlining access for all team members. Integrated real-time log fetching via ELK Stack in Skype and email, achieving 92% query accuracy and drastically reducing retrieval times.

Education

Bachelor of Technology, Computer Science, Motilal Nehru National Institute of Technology

CISCE (10+2), Science, Seth Anandram Jaipuria School, Kanpur

Public links

github: https://github.com/nitish1101

leetcode: https://leetcode.com/nitish1101

youtube.com: https://youtube.com/@genaimatters