Archit Keshav Gangal

Who I Am

About Me

I am a Technical Consultant and Software Engineer with 6+ years of experience working across enterprise environments in insurance, finance, QSR, and automotive domains. My career spans IT consulting, application support, and software engineering — giving me a rare combination of client-facing communication skills and hands-on technical depth.

At Allstate Insurance, I contributed to a Java and Spring Boot microservices product team, managed Kafka-based queue workflows, handled major incident management through war rooms and RCA documentation, and monitored production platforms using Datadog, Splunk, and Grafana.

At Capgemini, I served as a technical consultant for a US-based QSR client, managing the full incident lifecycle, leading change management, developing runbooks and SOPs, and delivering structured reporting to client stakeholders.

Alongside my professional experience, I have built AI-powered applications including a RAG-based literature review system and an open-source database optimization CLI tool, strengthening my depth in Python and modern AI application development.

✦ Authorized to work in the USA — STEM OPT (3 years)

Years Experience

Enterprise Clients

3.93

Graduate GPA

AI/Data Projects

Career History

Professional Experience

IT Consultant | Software Engineer XP

Allstate Insurance

Aug 2022 – Jul 2024

Contributed to a Java and Spring Boot enterprise product team, performing code changes for user onboarding workflows and Kafka queue management within a distributed microservices architecture.
Reviewed and modified Java and Spring Boot application code, worked directly with Kafka topics and queues, tested REST APIs using Postman, and managed development tasks and defect tracking through JIRA.
Deployed and managed applications on Pivotal Cloud Foundry (PCF), supporting application lifecycle management including deployments, scaling, and environment configuration.
Participated in major incident management by attending war rooms and bridge calls during production outages, coordinating between application, infrastructure, and business teams to drive resolution.
Contributed to Root Cause Analysis (RCA) documentation post-incident, identifying failure patterns and supporting implementation of preventive measures.
Monitored application health and proactively escalated alerts using Datadog, Splunk, Kibana, and Grafana, supporting production stability across critical insurance platforms.
Supported CI/CD workflows using Jenkins and GitHub, and collaborated in an Agile environment through sprint planning, daily standups, and retrospectives.

Solutions Consultant

Capgemini

Mar 2021 – Aug 2022

Served as technical consultant for a US-based QSR client (Tropical Smoothie Cafe), advising on operational stability and delivering IT solutions to ensure continuity of business-critical systems in a 24x7 environment.
Managed end-to-end incident lifecycle using ServiceNow and JIRA, consulting with client stakeholders to prioritize issues, define resolution strategies, and maintain SLA compliance.
Led Root Cause Analysis (RCA) for major incidents, delivering structured post-incident reports with failure analysis and preventive recommendations to client leadership.
Coordinated between vendor and client teams to assess, plan, and execute change requests, ensuring alignment on risk, impact, and rollback strategies throughout the change management lifecycle.
Developed and maintained runbooks and SOPs that standardized support procedures, improving team consistency and reducing resolution time for recurring issues.
Onboarded and mentored new team members on client systems, escalation workflows, and consulting best practices.
Automated repetitive operational tasks using Shell scripting and leveraged SQL for data analysis and client-facing reporting.

Process Developer

Genpact

May 2018 – Feb 2021

Consulted on credit operations for US-based automotive clients (Nissan and Infiniti), advising on back-office processing workflows and ensuring accuracy, compliance, and operational efficiency.
Transitioned into an onsite infrastructure consulting role, providing technical guidance and hands-on data center support, maintaining server availability and resolving escalated infrastructure issues.
Managed end-to-end incident and service request lifecycles using ServiceNow and JIRA, working closely with client stakeholders to prioritize issues and ensure SLA adherence.
Acted as primary point of contact for US-based client teams, gathering technical and business requirements, communicating issue status, and delivering operational reports.
Leveraged Excel and SQL to process, validate, and analyze operational data, translating findings into structured insights and recommendations for client stakeholders.

Work Samples

Featured Projects

🔍

Open Source

DBLens — Database Optimization CLI

Python CLI that surfaces real database bottlenecks — slow queries, missing indexes, table bloat, cache pressure, and lock contention — across 5 database engines.

Python PostgreSQL MongoDB Snowflake

GitHub →

🧠

AI-Powered RAG System

Retrieval-Augmented Generation system for academic research with React interface and fully local AI stack. Targeted for institutional adoption at CSU CIS department.

React LlamaIndex Chroma Ollama

GitHub →

💼

AI CFO Platform

AI-powered financial analytics platform with real-time forecasting, anomaly detection, and interactive KPI dashboards. Built with distributed architecture and role-based access controls.

React Python PHP

GitHub →

🔄

Airbnb Data Pipeline

End-to-end PySpark batch ETL pipeline processing Airbnb listings and reviews with custom UDFs for sentiment analysis and partitioned output for Databricks and AWS Glue.

PySpark Spark SQL ETL

GitHub →