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Currently building at NSE

Full stack developer buildingautomation at scale

I build enterprise automation and monitoring tools at the National Stock Exchange of India — software that keeps 2,000+ mission-critical servers consistent, compliant and in check.

See my workGet in touch
Role
Software Developer, NSE
Experience
2+ years, full stack
Based in
India
Stack
Python · Angular · PyTorch

(01)About

Quiet tools for critical systems.

Portrait of Priyatham Rathod, looking to the side, in front of trees

Hi, I’m Priyatham.

Full Stack Web Developer · NSE · India

I'm a full stack developer drawn to the quiet, important problems — the tools that keep critical infrastructure honest. At NSE I design and build the platforms 150+ infrastructure engineers rely on to monitor, audit and remediate thousands of servers, with security and clarity designed in from day one.

My day-to-day spans Python (Django, FastAPI, Flask) on the backend, Angular on the frontend, and Ansible and Jenkins underneath — turning slow, manual operations into dashboards and automated workflows people actually enjoy using.

I studied Computer Science at VNIT Nagpur and still build machine learning projects on the side — from a self-driving car agent trained with deep reinforcement learning to an NLP chatbot.

Servers audited daily by tools I built
2,000+
Infrastructure engineers using them
150+
Less manual effort on compliance reporting
80%
Faster role changes in user management
95%

Solid foundations.
Room to grow.

Concrete & ivy — the palette behind this site

(02)Experience

Where I've been growing.

  1. Jun 2024 — Present

    Mumbai

    Software DeveloperNational Stock Exchange of India

    India's leading stock exchange and the world's largest derivatives exchange by trading volume.

    • Built and maintain full-stack automation tools used by 150+ infrastructure engineers to monitor and synchronise configurations across 2,000+ servers — Linux, Windows, network and firewall — keeping DC and DR environments consistent.
    • Automated compliance reporting with Python and Ansible, cutting manual work by 80% while improving accuracy and turnaround.
    • Strengthened security across internal platforms with granular role-based access control and session-based audit logging that meet strict financial-sector compliance standards.
    • Keep systems running 24/7 — supporting critical incidents, resolving API issues and managing Jenkins and Podman deployments.
    • Python
    • Django
    • FastAPI
    • Angular
    • Ansible
    • Jenkins
    • Podman
    • Oracle DB
    • MySQL

  2. Aug 2020 — May 2024

    Nagpur, Maharashtra

    Education

    Bachelor of Technology in Computer Science and EngineeringVisvesvaraya National Institute of Technology, VNIT

(03)Selected work

Systems built to be relied on.

01 / 03Jun 2025 — Present

NSE · Internal platform

Configuration Drift Management Platform

An in-house auditing platform that keeps 2,000+ data-centre and disaster-recovery server pairs in lock-step.

  • Led full-stack development — 70% of the backend and 100% of the UI.
  • Built a high-performance regex engine that finds configuration gaps across Linux, network, Windows and storage.
  • Designed a Highcharts analytics dashboard with 6-month trend lines and per-technology drift for leadership.
  • Python
  • Angular
  • Highcharts
  • Ansible
  • Jenkins

2,000+

DC/DR server pairs audited daily, hands-free

02 / 03Oct 2024 — Jun 2025

NSE · Enterprise dashboard

Unified Management Dashboard

A central portal where Linux, firewall and storage teams monitor devices and run their own service catalogues.

  • Automated health monitoring for enterprise firewalls with Ansible triggers and real-time status.
  • Engineered a "Remediation Flow" with L1/L2 approvals that recovers failing devices instantly, with email audit trails.
  • Built a fully custom Angular UI, secured with JWT-based RBAC and a session-tracking audit log of every API call and export.
  • Angular
  • Python
  • Ansible
  • JWT
  • RBAC

80%

Less manual inspection of firewall devices

03 / 03Jul 2024 — Sep 2024

NSE · Asset management

IT Asset Management Tool

A system for tracking IT assets across the organisation, modernised with live dashboards and faster admin.

  • Added dynamic dashboard cards that surface asset-status changes within a 24-hour window.
  • Built a real-time user-management module with instant MySQL synchronisation.
  • Automated Excel exports of asset datasets with Python for audits and resource planning.
  • Python
  • MySQL
  • Dashboards
  • Excel automation

95%

Faster role modifications for 150+ team members

More projects

Machine learning, web development and academic work from VNIT and beyond.

  • 02Natural language processing

    NLP Chatbot

    A conversational chatbot that uses natural language processing to understand what people type and reply naturally.

    • Python
    • NLP
  • 03Web development

    priyathamrathod.com

    This site. A static Astro build with Tailwind and GSAP, a hand-written Verlet physics engine for the ivy, kerning-safe text animation, and push-to-deploy on Vercel.

    • Astro
    • TypeScript
    • GSAP
    • Vercel

Case study

NSE · Internal platform · Jun 2025 — Present

Configuration Drift Management Platform

An in-house auditing platform that keeps 2,000+ data-centre and disaster-recovery server pairs in lock-step.

2,000+DC/DR server pairs audited daily, hands-free

The problem

Every production server at NSE has a disaster-recovery (DR) twin. If their configurations drift apart, DR readiness is at risk — and comparing 2,000+ pairs across Linux, Windows, network and storage by hand does not scale.

My role

Led the full-stack build: about 70% of the backend and the entire UI.

How it works

  1. 01Schedule

    Jenkins triggers the audit every day, with no manual steps.

  2. 02Collect

    Ansible polls configurations from 2,000+ DC and DR servers.

  3. 03Compare

    A high-performance Python regex engine finds gaps across Linux, network, Windows and storage.

  4. 04Report

    An Angular dashboard with Highcharts shows 6-month trends and drift by technology.

Outcomes

  • 2,000+ DC/DR server pairs audited every day, hands-free
  • Drift percentages by technology for executive stakeholders
  • Disaster-recovery readiness tracked continuously instead of in spot checks
  • Python
  • Angular
  • Highcharts
  • Ansible
  • Jenkins

Case study

NSE · Enterprise dashboard · Oct 2024 — Jun 2025

Unified Management Dashboard

A central portal where Linux, firewall and storage teams monitor devices and run their own service catalogues.

80%Less manual inspection of firewall devices

The problem

Linux, firewall and storage teams each needed to watch their own devices and run their own services, and firewall health checks were largely manual.

My role

Architected the firewall health monitoring and the remediation flow, and designed and built the Angular UI from scratch.

How it works

  1. 01Monitor

    Ansible-triggered health checks report firewall status in real time.

  2. 02Request

    When a device misbehaves, a user raises a remediation request from the portal.

  3. 03Approve

    L1 and L2 approvals gate every recovery.

  4. 04Recover

    The device is recovered automatically and an email audit trail goes out.

Outcomes

  • 80% less time spent on manual firewall inspection
  • JWT-based RBAC plus session-tracked audit logs on every API call and export
  • One portal for the Linux, firewall and storage teams’ service catalogues
  • Angular
  • Python
  • Ansible
  • JWT
  • RBAC

Case study

NSE · Asset management · Jul 2024 — Sep 2024

IT Asset Management Tool

A system for tracking IT assets across the organisation, modernised with live dashboards and faster admin.

95%Faster role modifications for 150+ team members

The problem

The organisation’s IT asset system was legacy code: changes in asset status were hard to spot, and updating roles for 150+ team members was slow.

My role

Modernised the legacy codebase with live dashboards, real-time admin tooling and automated reporting.

How it works

  1. 01Track

    Dynamic dashboard cards surface asset-status changes within a 24-hour window.

  2. 02Administer

    A real-time user-management module with an action-driven interface.

  3. 03Sync

    Role changes are written to MySQL instantly.

  4. 04Export

    Python tooling exports asset datasets to Excel for audits and planning.

Outcomes

  • 95% faster role modifications for 150+ team members
  • Immediate visibility into inventory changes
  • Audit-ready Excel exports for the management team
  • Python
  • MySQL
  • Dashboards
  • Excel automation

Case study

Machine learning

Self-Driving Car AI

A simulated car that teaches itself to drive. A PyTorch deep Q-network reads three sensors and the car’s heading, learns from replayed experience, and steers around obstacles you draw on the map.

The problem

Teach a car to drive between two goals and around obstacles without writing any driving rules — it has to learn purely from rewards.

My role

Personal project: implemented the deep Q-learning agent in PyTorch and trained it in a Kivy simulation.

How it works

  1. 01Sense

    Three sensors measure obstacles ahead, to the left and to the right; with the heading to the goal they form a 5-value state.

  2. 02Decide

    A neural network (5 → 30 → 3) scores three actions: straight, or turn 20° left or right. Softmax sampling keeps it exploring.

  3. 03Reward

    −1 for hitting obstacles or walls, +0.1 for getting closer to the goal, −0.2 otherwise.

  4. 04Learn

    Transitions go into a 100,000-step replay memory; batches of 100 train the network with Adam (γ = 0.9).

The network

Front sensorLeft sensorRight sensorHeading−Heading30 ReLU unitsStraightLeft 20°Right 20°State (5)Q-values (3)
Each step, the network scores the three actions. A softmax over those Q-values picks the move, so the car keeps exploring while it learns; the highlighted action cycles here for illustration.

Outcomes

  • Learns to reach alternating goals while steering around obstacles drawn on the map
  • Experience replay and a smooth L1 loss keep training stable
  • The trained “brain” is saved and reloaded between runs
  • Python
  • PyTorch
  • Deep Q-learning
  • Kivy

(04)Skills

Tools of the trade.

Languages

01

In practice · Python for backends and automation, TypeScript for Angular UIs, SQL on Oracle and MySQL.

  • Python
  • TypeScript
  • SQL (PL/SQL)
  • HTML5
  • CSS3

Frontend

02

In practice · Built the fully custom Angular UI of NSE’s Unified Management Dashboard.

  • Angular (v12+)
  • Angular Material
  • RxJS
  • Highcharts
  • Bootstrap
  • UI/UX Design

Backend

03

In practice · APIs behind internal platforms used by 150+ infrastructure engineers.

  • Django
  • FastAPI
  • Flask
  • RESTful APIs
  • JWT Authentication

Machine learning

04

In practice · A self-driving car agent trained with deep Q-learning, and an NLP chatbot.

  • PyTorch
  • NumPy
  • Deep Q-learning
  • Reinforcement learning
  • NLP

Data

05

In practice · Real-time MySQL sync for user and role management across 150+ people.

  • Oracle DB
  • MySQL

DevOps & Automation

06

In practice · Daily, hands-free audits of 2,000+ servers with Ansible and Jenkins.

  • Ansible
  • Jenkins
  • Podman
  • Docker
  • Git

Quality & Security

07

In practice · Role-based access and audit logging built to financial-sector compliance standards.

  • Pytest
  • Unit Testing
  • RBAC
  • Audit Logging
  • Postman

(05)Contact

Let's build something that lasts.

Have a role, a project, or just want to talk about web platforms and infrastructure automation? My inbox is open.

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