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Abhijeet Kumar

@abhijeetkumar6

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Senior backend engineer building async-first distributed systems and AI pipelines that cut latency.

India

Message

What I'm looking for

I’m looking for an async-first, high-trust team where I can own distributed backend and AI pipeline features end-to-end, focus on measurable performance (latency/throughput), and work collaboratively across time zones through strong written communication.

I’m a Senior Backend Engineer with 2+ years building high-performance distributed systems in Python, Django, and FastAPI. I’ve reduced API latency from 30 seconds to under 1 second by architecting Redis-backed flat read models using CQRS, and I cut LLM pipeline processing time by 90%.

In fully remote, async-first teams, I own features end-to-end and document decisions with clear PRs and audit trails. From building 1,000+ requests/second REST endpoints to leading an AI evaluation pipeline that processes 3,000+ reports/hour, I focus on reliability, measurable performance gains, and event-driven, scalable designs—plus I’m the lead maintainer of PromptGuard on PyPI.

Experience

Work history, roles, and key accomplishments

Current

Senior Backend Engineer

Current

Spotter Labs

Dec 2025 - Present (6 months)

Architected Redis-backed CQRS flat read models to cut API latency from 30+ seconds to under 1 second and improve overall API performance by 90% through advanced caching. Engineered event-driven workflows and high-throughput REST endpoints sustaining 1,000+ requests/second, deploying containerized services on GCP.

Redis CQRS Django Signals REST APIs PostgreSQL Docker GCP Performance Tuning CI CD

Software Engineer

CipherSchools

Aug 2024 - Dec 2025 (1 year 4 months)

Built an AI evaluation pipeline processing 3,000+ reports/hour, reducing latency from 50 seconds to under 5 seconds using async batching and parallel execution. Implemented Celery/Redis distributed job processing, MongoDB query optimizations validated with Grafana K6, and semaphore-based throttling to prevent rate-limit failures.

Python Celery Redis MongoDB Aggregation Pipelines Grafana Evaluation Pipelines

Backend Engineer Intern

STMicroelectronics

Jan 2024 - Jul 2024 (6 months)

Developed 3+ Spring Boot microservices under TDD and improved throughput by 60% using Spring Caching validated with Grafana K6. Created a reusable AOP-based pagination and caching library and implemented LDAP-based authentication with role-based access control for enterprise API security.

Java Spring Boot TDD LDAP RBAC Microservices Grafana

Education

Degrees, certifications, and relevant coursework

The LNM Institute of Information Technology (LNMIIT)

Bachelor of Technology, Computer and Communication Engineering

2020 - 2024

Grade: First Class

Activities and societies: Top-100 Kaggle ranking in machine learning competitions.

B.Tech in Computer and Communication Engineering (2020–2024) from LNMIIT, graduating with First Class. Coursework included Distributed Systems, Database Systems, Computer Networks, Algorithms, and Operating Systems.