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Arun Kushwaha

Software Engineer @Flagright (YC W22)

Bengaluru

3+ years of work experience

Flagright
Jul 20251 yr 2 mosPresent

Flagright arms financial institutions with the best-in-class technology to combat financial crime and meet AML compliance regulations. Our AI-native, no-code platform can be integrated within a week thanks to our API-first approach, which drastically undercuts the industry standard of 2-4 months. Flagright's comprehensive product suite includes real-time transaction monitoring, customer risk scoring, merchant monitoring, case management, and sanctions screening among other industry-leading features. Unique to the market, our AI Forensics module equips fincrime fighters with an immersive investigative experience that drives vigilance and operational efficiency in financial crime prevention efforts.
Flagright
Oct 202410 mosJul 2025

Flagright arms financial institutions with the best-in-class technology to combat financial crime and meet AML compliance regulations. Our AI-native, no-code platform can be integrated within a week thanks to our API-first approach, which drastically undercuts the industry standard of 2-4 months. Flagright's comprehensive product suite includes real-time transaction monitoring, customer risk scoring, merchant monitoring, case management, and sanctions screening among other industry-leading features. Unique to the market, our AI Forensics module equips fincrime fighters with an immersive investigative experience that drives vigilance and operational efficiency in financial crime prevention efforts.
Startwatch Technologies
May 20242 mosJun 2024

Coimbatore, Tamil Nadu, India

• Led the development and deployment of Go Track, an Android app, enhancing real-time monitoring of liquor trucks during elections for the Andhra Pradesh Prohibition and Excise Department. Improved tracking efficiency by 40%, leading to 50+ incidents being flagged during the election period. • Built a Next.js-based driver monitoring dashboard, hosted on AWS Amplify, which tracked 100+ drivers daily, reducing manual monitoring efforts by 30%. • Migrated video recordings from 30+ NVR/DVR devices to a cloud-based system using Google Cloud Platform. Saved 25% in storage costs by eliminating on-premise hardware. • Integrated ONVIF protocol to support IP cameras and non-ONVIF devices, increasing system compatibility by 40% and improving surveillance efficiency. • Engineered a subscription-based Cloud VMS model, attracting 10+ new clients within the first month of deployment. • Reduced analysis time by 60% for Sleuth AI’s recruiter platform by implementing the Gemini AI model, processing 300 resumes in a single upload, and streamlining job application management.
Jan 20231 yrDec 2023

Coimbatore, Tamil Nadu, India

• Developed a React-based dashboard and monitoring webpage, increasing client operational efficiency by 10%. The system handled 150 daily users, providing real-time data visualization and management. • Designed and deployed a Kotlin-based Android app for real-time monitoring of weavers, machines, and zones, resulting in a 20% improvement in machine utilization. • Created a scalable backend using Node.js and Express, optimizing data management for 50+ machines and improving data processing speed by 15%. • Enhanced the UI/UX by incorporating Recharts for performance data visualization, reducing bug reports by 20% and boosting user satisfaction. • Refactored code to enhance reliability, reducing system downtime by 25%, and increasing application stability for 150 daily users.
Bipolar Factory
Sep 20217 mosMar 2022

• Led the implementation of the company’s landing page, attracting 250 users, and created a live form with Firebase back‐end integration.(Live Site) Played integral roles in projects like AIVIs and Feasibility Survey (Used by Election Commission of India During 2022 Uttar Pradesh Legislative Assembly election), focusing on crafting and deploying responsive frontends and scalable backends.
Vyorius
Aug 20212 mosSep 2021

Delhi, India

• Visualized Drone Analytics Data using Chartjs. • Used MERN stack to develop Drone Analytics Page. • Created multiple internal apps using Reactjs, Nodejs and MapBox . • Worked On making website pages responsive for different view width devices.
GitHub
@arun-kushwaha04

Arun’s AI Stack

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Education

ABV-Indian Institute of Information Technology and Management

Integrated Degree (Btech + Mtech), Information Technology

ABV-Indian Institute of Information Technology and Management

20205 yrs2025
Central Academy

Senior Secondary

Central Academy

20191 yr2020

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Headline

Software Engineer @Flagright (YC W22)

About

With a focus on cloud and Android platforms, my recent role at Startwatch Technologies involved pioneering real-time monitoring applications and cloud-based video management systems. My contributions in these projects harnessed the power of Amazon Web Services, Google Cloud Platform, and AntMedia, culminating in a subscription-based model that integrates seamlessly with existing hardware. Currently, in the final year of my Integrated Degree at ABV-IIITM, my academic pursuits in Information Technology amplify my practical experiences. The team at Startwatch thrived on our collective innovation, where my role in developing and deploying crucial applications demonstrated my commitment to delivering technology solutions that enhance efficiency and reliability.

Location

Bengaluru

AI stack

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Work experience

Software Engineer at Flagright, Jul 2025 - Present · 1 yr 2 mos, Flagright arms financial institutions with the best-in-class technology to combat financial crime and meet AML compliance regulations. Our AI-native, no-code platform can be integrated within a week thanks to our API-first approach, which drastically undercuts the industry standard of 2-4 months. Flagright's comprehensive product suite includes real-time transaction monitoring, customer risk scoring, merchant monitoring, case management, and sanctions screening among other industry-leading features. Unique to the market, our AI Forensics module equips fincrime fighters with an immersive investigative experience that drives vigilance and operational efficiency in financial crime prevention efforts.

Software Development Intern at Flagright, Oct 2024 - Jul 2025 · 10 mos, Flagright arms financial institutions with the best-in-class technology to combat financial crime and meet AML compliance regulations. Our AI-native, no-code platform can be integrated within a week thanks to our API-first approach, which drastically undercuts the industry standard of 2-4 months. Flagright's comprehensive product suite includes real-time transaction monitoring, customer risk scoring, merchant monitoring, case management, and sanctions screening among other industry-leading features. Unique to the market, our AI Forensics module equips fincrime fighters with an immersive investigative experience that drives vigilance and operational efficiency in financial crime prevention efforts.

SDE Intern at Startwatch Technologies, May 2024 - Jun 2024 · 2 mos, Coimbatore, Tamil Nadu, India, • Led the development and deployment of Go Track, an Android app, enhancing real-time monitoring of liquor trucks during elections for the Andhra Pradesh Prohibition and Excise Department. Improved tracking efficiency by 40%, leading to 50+ incidents being flagged during the election period. • Built a Next.js-based driver monitoring dashboard, hosted on AWS Amplify, which tracked 100+ drivers daily, reducing manual monitoring efforts by 30%. • Migrated video recordings from 30+ NVR/DVR devices to a cloud-based system using Google Cloud Platform. Saved 25% in storage costs by eliminating on-premise hardware. • Integrated ONVIF protocol to support IP cameras and non-ONVIF devices, increasing system compatibility by 40% and improving surveillance efficiency. • Engineered a subscription-based Cloud VMS model, attracting 10+ new clients within the first month of deployment. • Reduced analysis time by 60% for Sleuth AI’s recruiter platform by implementing the Gemini AI model, processing 300 resumes in a single upload, and streamlining job application management.

SDE at Doodil2r, Jan 2023 - Dec 2023 · 1 yr, Coimbatore, Tamil Nadu, India, • Developed a React-based dashboard and monitoring webpage, increasing client operational efficiency by 10%. The system handled 150 daily users, providing real-time data visualization and management. • Designed and deployed a Kotlin-based Android app for real-time monitoring of weavers, machines, and zones, resulting in a 20% improvement in machine utilization. • Created a scalable backend using Node.js and Express, optimizing data management for 50+ machines and improving data processing speed by 15%. • Enhanced the UI/UX by incorporating Recharts for performance data visualization, reducing bug reports by 20% and boosting user satisfaction. • Refactored code to enhance reliability, reducing system downtime by 25%, and increasing application stability for 150 daily users.

Full Stack Developer at Bipolar Factory, Sep 2021 - Mar 2022 · 7 mos, • Led the implementation of the company’s landing page, attracting 250 users, and created a live form with Firebase back‐end integration.(Live Site) Played integral roles in projects like AIVIs and Feasibility Survey (Used by Election Commission of India During 2022 Uttar Pradesh Legislative Assembly election), focusing on crafting and deploying responsive frontends and scalable backends.

Frontend Web Developer at Vyorius, Aug 2021 - Sep 2021 · 2 mos, Delhi, India, • Visualized Drone Analytics Data using Chartjs. • Used MERN stack to develop Drone Analytics Page. • Created multiple internal apps using Reactjs, Nodejs and MapBox . • Worked On making website pages responsive for different view width devices.

Education

Integrated Degree (Btech + Mtech), Information Technology, ABV-Indian Institute of Information Technology and Management

Senior Secondary, Central Academy

Public links

github: https://github.com/arun-kushwaha04