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Anas Ansari

@anasansari

Backend Engineer building scalable Go/Python microservices and applied AI/agentic systems.

India
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What I'm looking for

I’m looking for roles at the intersection of backend engineering and applied AI/agentic systems—building production-grade microservices, integrating RAG/MLOps, and shipping fast with strong engineering fundamentals.

I’m a Backend Engineer with 3.5+ years building scalable backend systems using Python and Go across Cisco, Mitsogo, Outlier, and Our World Energy (OWE). I focus on microservices, REST/gRPC APIs, and real-time communication platforms, while pairing that foundation with applied AI/ML and agentic systems.

In my current role at OWE, I designed and developed scalable real-time chat and calling systems by integrating Twilio APIs and building RESTful and gRPC-based backend services in Go. I also shipped reusable Go APIs for secure AWS S3 file workflows, built a Go-based editor service for real-time Confluence updates, and strengthened backend architecture for finance services with secure integration across internal systems.

My projects reflect how I like to work: end-to-end, production-minded, and AI-accelerated. On EstateVault, I architected a 9-service microservices AI platform with RAG and vector search (pgvector), provider-agnostic AI service abstractions, encrypted media handling, and Kubernetes-based CI/CD with canary deployment. On AlgoTrade Sentinel, I built a 10-phase MLOps pipeline with MLflow, drift monitoring, automated retraining triggers, and FastAPI inference endpoints.

Experience

Work history, roles, and key accomplishments

OO
Current

Backend Developer (Go)

Our World Energy (OWE)

Apr 2025 - Present (1 year 2 months)

Designed and built scalable real-time chat and calling backend services by integrating Twilio APIs and implementing REST and gRPC endpoints in Go. Developed reusable Go APIs for secure AWS S3 file management and built backend architecture for OWE finance integrations across internal systems.

CI

Backend Engineer (Python)

Cisco

Oct 2022 - Oct 2023 (1 year)

Improved CI/CD performance by parallelizing environment variable execution in Jenkins, Git, and Docker, reducing build time to one-third and accelerating deployment cycles. Reduced video alert false positives by 37% using TimescaleDB and Elasticsearch with Grafana visualization, and built a Python CRUD + rate limiting service achieving 1,000+ req/min throughput with AWS Athena and TimescaleDB.

Education

Degrees, certifications, and relevant coursework

FR

FGIET Raebareli

Bachelor of Technology, Computer Science Engineering

2018 - 2022

Grade: CGPA 8.23

B.Tech in Computer Science Engineering (CSE) from FGIET Raebareli, completed from 2018 to 2022, achieving a CGPA of 8.23.

JM

JNV Mirzapur

Higher Secondary (10+2), Mathematics and Computer Science

2016 - 2017

Grade: 84.6%

10+2 (Mathematics with Computer Science) at JNV Mirzapur, completed between 2016 and 2017 with 84.6%.

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