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Abhishake Gupta
Sr. Backend Engineer
#OpenToWork Open Source · nselib Intraday Trader

Sr. Backend Engineer

Abhishake
Gupta

12+ years turning architectural chaos into resilient, high-performance systems — across Finance, Food-Tech, Aviation, and E-commerce. I build with AI as a core part of the workflow: structured context engines, not just prompts. The result: security audits in 6 hrs (was 30+), latency cut from minutes to seconds, and a 5–7× compound productivity edge.

Python AWS FastAPI Redis Docker / K8s OAuth2 / JWT Claude · Windsurf
Contact Me Download CV LinkedIn →
12+ Yrs
Experience
5–7×
AI Productivity
6
Domains
Abhishake Gupta

What I bring

End-to-end ownership · AI-native workflows · Systems that hold up in production.

Recognition & Honours

Feb 2026 · BPIT

Jury Member — Algo-Rush 2026

Evaluated 20+ projects at my alma mater, mentored final-year developers on architecture and industry-readiness, and spoke on AI, career growth, and financial literacy.

Oct 2025 · BPIT

ECE Orientation & Induction — Guest Speaker

Honored to speak at the ECE orientation 13 years post-graduation, sharing career insights and experiences with the incoming batch.

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About Me

With over 12 years of experience building distributed systems in Finance, E-commerce, Food Tech, and Aviation, I specialize in turning architectural chaos into resilient, high-performance reality.

Documentation-First AI Development: I don't just use LLMs — I build Context Engines. By maintaining a structured, living knowledge base of architecture, security protocols, and API contracts, I've achieved a 5–7× compound productivity advantage. This lets me own high-level architecture and reliability while using AI to accelerate code generation, documentation, and security reviews.

🏗️ Backend at scale

Microservices, API-first design (OpenAPI), OAuth2/JWT auth, webhook receivers with HMAC verification, multi-tenant SaaS patterns — built to survive production.

🤖 AI-native workflows

Context engines, not just prompts. Security audits in 6 hrs. Code reviews that never sleep. A 5–7× productivity edge that compounds across every project.

⚡ Performance & DevOps

Redis caching that cut latency from 40 min → seconds. TDD/BDD. Docker, K8s, CI/CD, and full observability with ELK / Datadog — from monolith to microservices.

Skills & Tech Stack

Technical expertise across languages, frameworks, databases, and DevOps.

Languages

Python (Advanced) JavaScript Node.js Golang

Frameworks

FastAPI Flask Django React.js Express

Async & Messaging

RabbitMQ Celery Kafka

Databases

PostgreSQL MySQL MongoDB Redis Oracle

Data Market Feed

ICICI Direct Interactive Brokers Zerodha

Payments

NMI Razorpay Worldpay

Third Party Integrations

Uber Eats Doordash Relay Onfleet OneSignal SparkPost Como Punchh Sparkfly

Cloud & Infrastructure

Docker Kubernetes Git Jenkins Autosys

AWS

EC2 S3 RDS (PostgreSQL) VPC Subnet Route53

Monitoring & Logging

ELK Stack Splunk NewRelic Datadog Zabbix

AI & LLM

Claude (Anthropic) Large Language Models Generative AI Context Engineering AI-Augmented Workflows

How I build in 2026

AI-Native Toolkit

I don't just use AI tools — I build context engines around them. Here's the stack that gives me a 5–7× edge.

Claude

Anthropic

My primary AI partner for architecture reviews, code generation, security audits, and documentation. Claude in Cowork + Claude Code for end-to-end agentic workflows.

Windsurf

Codeium

AI-first IDE for flow-state coding. Cascade agent handles multi-file refactors while I stay focused on architecture and business logic.

Cursor

Anysphere

For deep codebase conversations — codebase-aware chat, symbol search, and inline edits. Great when I need to reason about a whole service at once.

Context Engine

My method

A structured, living knowledge base — architecture diagrams, API contracts, security runbooks, ADRs. Feeds every AI tool with precision context so outputs are production-grade, not generic.

"I don't just prompt — I engineer the context that makes AI output trustworthy."

Experience

More than a decade of professional experience across backend systems, microservices, and DevOps.

Sr. Software Engineer

Checkmate · Full-time · Remote

All-in-one platform for restaurant brands — digital ordering, admin panel, loyalty, and delivery orchestration.

Jul 2023 — Present

  • Led multi-provider delivery orchestration (Third party delivery providers) with unified abstraction layer for quoting, dispatching, and tracking.
  • Built and owned webhook receivers for third-party platforms, including retries, idempotency, and dead-letter handling so events could be processed safely.
  • Hardened inbound webhooks with signature verification (HMAC), timestamp checks, and replay protection.
  • Worked in a multi-tenant SaaS setup, keeping tenant configuration/data isolated and respecting per-account limits.
  • Owned OAuth2/JWT authentication for internal and external APIs, and integrated with third-party token-based auth (refresh flows, secure storage, and rotation patterns).
  • Migrated menu system to new architecture with Redis caching, reducing load times from 40 minutes to seconds.
  • Designed real-time failover mechanism for automatic rerouting to backup providers, reducing order cancellations.
  • Re-engineered Celery background tasks from monolithic to chunk-based architecture with connection pooling.

Senior Software Engineer

Bluetick Consultants Inc. · Full-time · Remote

Aug 2022 — Jun 2023

  • Built a Python-based Aviation Resource Optimization System — leveraged heuristic algorithms to model complex operational and regulatory constraints, generating compliant, cost-efficient flight and crew plans.
  • Built data pipelines (Python, Pandas, Redis) to ingest schedule, crew, and resource data; optimized outputs reduced reliance on third-party vendors and lowered fuel and operational costs.
  • Built Golang/Fiber microservices to manage hierarchical data structures and CRUD workflows.
  • Worked API-first: kept OpenAPI/Swagger docs in sync and used Postman collections for contract-driven testing.
  • Containerized components with Docker and deployed on Linux-based environments; collaborated in a 4-member cross-functional team.

Senior Software Developer III

Rackspace Technology

Nov 2019 — Aug 2022

  • Enhanced a Flask-based platform for enterprise storage hardware data collection and analysis across multiple vendors.
  • Reduced API latency by 60% via RabbitMQ and Celery automation.
  • Designed data models and access controls with clear tenant boundaries for customer-facing workflows across multiple accounts.
  • Migrated monolithic application to Kubernetes-based microservice architecture; refactored frontend to React SPA.
  • Developed internal CLI tooling to reduce support SLAs by streamlining common operational workflows.

Senior Software Engineer (ETL)

Gemini Solutions

Dec 2017 — Nov 2019

  • Designed a customer support/ticketing history microservice using Node.js, Express, and Kafka (event-driven ingestion, auditability, and replay-safe processing).
  • Developed Django REST APIs for healthcare analytics (descriptive and predictive analysis of patient vitals).
  • Built internal CLI tools for FTP/SFTP access scheduled via Autosys.
  • Automated GoldenGate replication delay calculation and reporting from Sybase to Oracle.

DevOps Engineer

Global Analytics

Aug 2016 — Nov 2017

  • Partnered with developers to implement a monitoring/observability tool API in Django for faster incident triage.
  • Integrated with Zabbix for automated alerts and issue tracking.
  • Reduced manpower required for issue identification and escalation by 80%.

Senior System Engineer (Ops)

Infosys

Feb 2014 — Jul 2016

  • Developed Flask-RESTful backend APIs for an automated ticketing proof-of-concept serving a mobile frontend.
  • Provided L2 support for server applications using Splunk, ELK, and Oracle Siebel CRM.
  • Collaborated with cross-functional teams on automated ticketing system implementation.

Education

B.Tech in Electronics & Communication

BPIT, Rohini (GGSIPU), Delhi

2013 | 76%

Senior Secondary (XII)

Bal Bharti Public School, CBSE, Delhi

2009 | 80%

Higher Secondary (X)

J.M. Senior Secondary School, CBSE, Delhi

2007 | 87%

Certifications & Courses

Professional certifications and continuous learning.

AI & Generative AI

  • Claude Code in Action — Anthropic (Mar 2026)
  • Generative AI: Introduction and Applications — IBM (Feb 2026)

Trading & Quant

Backend & APIs

DevOps & Cloud

Product & Business

Web3 & Blockchain

Foundational

  • Open Sources & Systems Training, Infosys (May 2014)
  • Verilog Training, Electronics for You (Jun 2012)
  • MATLAB Training, DRDO (Jun 2011)

Sectors & Domains

FoodTech / Restaurant Ordering & Delivery

Built backend systems that power ordering, delivery quoting/dispatching, and reliability improvements for high-volume operations.

  • Designed/owned REST APIs and background workflows for ordering and delivery orchestration.
  • Improved reliability with failover strategies and graceful degradation paths.
  • Optimized performance using caching and async processing.

Messaging / Communication Platforms

Built notification and event-driven integration workflows aligned with conversational/messaging product patterns.

  • Worked with notification providers (OneSignal) and email delivery systems (SparkPost).
  • Built webhook-based integrations with signature verification and replay protection.
  • Designed reliable async processing for message/event pipelines using queues and workers.

E-Commerce Platforms

Worked on cart/checkout-adjacent services and integrations where correctness, latency, and resilience directly impact conversion.

  • Modernized and documented legacy API surfaces to unblock safe iteration.
  • Implemented testing and release practices to reduce regressions.
  • Collaborated with stakeholders to translate requirements into scalable designs.

Customer Support / CRM Integrations

Built event-driven services to track and synchronize customer ticket activity across internal systems and external CRMs.

  • Designed microservices and data models for ticket history and auditability.
  • Used messaging/streaming to ensure reliable, decoupled integrations.
  • Improved observability with structured logs and actionable metrics.

Cloud / Infrastructure Automation

Built and improved internal platforms that automate data collection, workflows, and operational tooling used by engineering/support teams.

  • Created automation using queues/workers to reduce latency and manual effort.
  • Migrated workloads towards containerized deployments (Docker/Kubernetes).
  • Delivered CLI tooling that standardized repetitive operational actions.

DevOps / Monitoring & Incident Response

Implemented monitoring APIs and alerting workflows to shorten triage time and improve incident handling consistency.

  • Integrated alert sources and automated issue routing/escalations.
  • Defined runbooks and improved signal-to-noise for alerts.
  • Reduced operational load through automation and better tooling UX.

Data Engineering / ETL & Reporting

Automated file transfer workflows, data pipelines, and reporting utilities used by operations and engineering teams.

  • Built schedulable scripts and jobs for secure file transfers and batch processing.
  • Automated replication-delay reporting and operational dashboards.
  • Implemented log analysis/reporting pipelines for better decision-making.

Posts & Publications

LinkedIn

Featured articles on LinkedIn.

New

How I Built an AI Code Reviewer That Never Gets Tired (And Caught 5 Real Bugs)

How I stopped reviewing code manually and built an AI-powered reviewer that caught a production bug on the first try.

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New

Why I Stopped Looking at Price and Started Looking at Volatility

Whether debugging a distributed system or trading a 15-minute chart — noise is your biggest enemy. How volatility changes the game.

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New

I Got Tired of Setting Up Servers Manually — So I Automated Everything with Ansible

Every fresh Ubuntu setup meant hours of the same steps. Here's how I automated Zsh, tmux, Docker and more with Ansible.

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Comfort Zone: Where Your Dreams Go to Die Quietly

Reflections on breaking out of comfort zones to pursue meaningful growth.

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Unlocking Alpha: Your Guide to Feature Engineering for Trading

A deep dive into feature engineering techniques for quantitative trading strategies.

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Quants Workflow

An overview of the quantitative analyst workflow from data to deployment.

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Medium

Featured articles on Medium.

What if I had bought NIFTY50 every day since 2000?

A practical exploration of long-term investing behavior using NIFTY50 as a baseline.

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MacOS Setup: Homebrew, iTerm2, Zsh, Oh My Zsh

A clean developer setup guide for macOS tooling and terminal productivity.

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Learn and Implement Candlestick Patterns (Python)

A hands-on guide to identifying and coding candlestick patterns for trading analysis.

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Python File Format Conversion: RPT to CSV

Automating reporting workflows by converting legacy RPT data into CSV files using Python.

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Let's Build Something

Open to new roles, freelance projects, or just a good engineering conversation. Drop me a line.