Backend Engineer · Distributed Systems · Applied AI

Ishaan Gupta

I build distributed backend systems in Go and Java that ship measurable revenue and reliability impact at scale.

$1.76M sales pipeline from APIs I built
faster p95 via distributed tracing
33 reviewer-weeks saved with async GPT
20+ → 5 daily pages after alert triage

I'm a software engineer with 4+ years at Mindtickle, where I grew from intern to SDE-II building distributed backend systems in Go and Java on AWS. My work centers on enterprise API and integration design, productionizing LLM pipelines, and observability that keeps systems debuggable at scale. I've been rated Exceeds Expectations across review cycles for high-ownership delivery of ambiguous, cross-team projects.

Selected work

3,000 files / 40GB load-tested

Custom Sync OpenAPIs — Thomson Reuters, Lonza

Designed and shipped RESTful custom-sync APIs for Thomson Reuters' AEM DAM, then extended them to Lonza with move operations and metadata mapping. The APIs became a reusable platform capability now powering Notion and Autodesk onboarding.

  • Go
  • OpenAPI
  • AWS
  • Enterprise integrations
$1.76M sales pipeline · Microsoft, PepsiCo

AI Roleplay campaign APIs

Built secure backend endpoints with CORS protection, JWT token expiry, and rate limiting, integrated with Marketo for the marketing funnel. The campaign drove 107 form fills, 78 interactions, and 65 meetings.

  • Go
  • API security
  • Marketo
33 reviewer-weeks saved · Cisco

Missions AI Reviews — async GPT

Designed an async GPT pipeline with an AI reviewer persona, idempotent retries, and fallback logic for single and bulk flows, and migrated the LLM gateway from synchronous to asynchronous responses.

  • Go
  • GPT / LLM
  • Async pipelines
3× faster p95 · enabled GA

MS Viewer (WOPI) optimization

Introduced distributed tracing with Datadog to a fragile document-viewer flow, then diagnosed and removed the bottlenecks degrading latency, clearing the path to general availability.

  • Datadog
  • Distributed tracing
  • Performance
SQL query 30× faster · load-resilient

Cisco Flagship Event recorder

Audited high-load mission flows, built and ran automated load tests, and moved non-critical RPC steps such as Kinesis puts async to keep the recorder resilient at unprecedented scale.

  • Java
  • SQL
  • Load testing
Daily pages 20+ → ~5

Operational excellence — PagerDuty

Ran AI-assisted analysis categorizing 100+ alerts into actionable and non-actionable, set thresholds and runbooks, and built Gemini-based auto-generation of pager summaries, yielding multiple pager-free days a month.

  • PagerDuty
  • Observability
  • On-call

Skills

Languages

Go, Java, SQL, C++, Python

Systems & messaging

Kafka, gRPC, RabbitMQ, MySQL, Couchbase, Redis, Snowflake, Elasticsearch

AWS & cloud-native

Step Functions, Lambda, API Gateway, SQS, Kinesis, EKS / Kubernetes, Docker

AI & integrations

LLM APIs (GPT, Gemini), ElevenLabs, Colossyan, Marketo, OpenAPI, REST, GraphQL

Observability & ops

Datadog, SumoLogic, Metabase, PagerDuty, distributed tracing, synthetic monitoring

Recognition

Exceeds Expectations (2023–2026), High Quality Release Award, Data Driven Team Award, AIgnite hackathon winner

Contact

Open to senior backend, product, and applied-AI roles. Based in Bengaluru, India.