---
title: "Shreenivas Chityala - Associate in Mumbai Metropolitan Region | Tal"
description: "Meet Shreenivas Chityala, Goldman Sachs | IIT Kharagpur based in Mumbai Metropolitan Region. AI stack includes claude code, claude, and gemini."
image: "https://tal.club/meet/shreenivas-chityala/share-image"
---

# Shreenivas Chityala on Tal

## Headline

Goldman Sachs \| IIT Kharagpur

## About

Backend Engineer at Goldman Sachs \| 4\+ years building real\-time data pipelines and distributed systems for compliance platforms in financial services\. I design and ship high\-throughput streaming infrastructure using Apache Flink, Kafka, Elasticsearch, and MongoDB — processing millions of events daily with sub\-second latency\. My work powers trading restriction enforcement, trade surveillance, and regulatory reporting across the firm\. What I do: real\-time stream processing • stateful event\-driven architectures • self\-healing data reconciliation • batch\-to\-streaming migrations • performance optimization at scale\. Previously built trade surveillance detection models using Hadoop MapReduce and HBase, improving detection accuracy by 30% while reducing false positives\. I care about reliability, clean abstractions, and building systems that scale\. Most of my work lives at the intersection of streaming data, distributed systems, and financial compliance\. Tech: Java · Apache Flink · Kafka · Elasticsearch · MongoDB · Hadoop · HBase · DB2 · Docker · Kubernetes

## Location

Mumbai Metropolitan Region

## AI stack

claude code

claude

gemini

github copilot

mcp

openai

## Work experience

Associate at Goldman Sachs, Jun 2022 \- Present · 4 yrs 3 mos, Bengaluru, Karnataka, India, \* Built and deployed 13 real\-time Apache Flink pipelines, replacing batch ETL with sub\-second data propagation across MongoDB, Elasticsearch, and Sybase\. \* Engineered scalable data enrichment and reconciliation frameworks processing 600M\+ records, reducing data issue resolution from days to hours through automated validation and self\-healing pipelines\. \* Diagnosed and resolved a production\-critical concurrency issue, restoring full cluster stability and improving reliability of distributed data processing\. \* Led infrastructure modernization initiatives including SFTP migration, RHEL 7→8 upgrade, static code analysis remediation, and vault\-based secret management\. \* Developed trade surveillance models for equities, fixed income, and FX across global business units, improving anomaly detection accuracy by 30% while reducing false positives\. \* Migrated legacy Java batch applications to Hadoop MapReduce, achieving \~10× faster processing for millions of daily trade records\.

Software Engineer at AppViewX, May 2021 \- Aug 2021 · 4 mos, • Created Clusters using Kubernetes and worked on creating multiple pods, replication controllers, replica sets by writing Yaml files • Automated the process of plugin upgrade, reduced the installation time by avoiding repetition and increased the performance by 50% • Designed a code to dynamically create password for UI kibana dashboard and display when install script is run on the virtual machine • Automated the deployment of 30\+ cloud servers and reduced costs by \~$3,000 each month by eliminating the unnecessary servers

Deep Learning Intern at venturit\., Jul 2020 \- Sep 2020 · 3 mos, India, • Designed a multi\-class deep learning model capable of identifying Breast Cancer with accuracy up to 91% • Built the model by transfer learning using award\-winning architectures for computer vision like ResNet\-50, VGG16, Inception

General Secretary at Nehru Hall of Residence, IIT Kharagpur, May 2020 \- Aug 2021 · 1 yr 4 mos, Kharagpur, West Bengal, India

Machine Learning Intern at The Rolling Circle, May 2020 \- Jul 2020 · 3 mos, Mumbai, Maharashtra, India, • Part of the team to develop an MVP\(Minimum Viable Product\) for creating human\-like voiceover using Speech Synthesis • The project was developed using Google Tacotron as base and NLP\(Natural Language Processing\) and Deep Learning

## Education

BTech \- Bachelor of Technology, Indian Institute of Technology, Kharagpur

Secondary School Certificate, St\. Lawrence High School Nashik

[View the original profile](https://tal.club/meet/shreenivas-chityala)

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