Headline

Software Engineer @ Optiv · Backend & Infra · Python, Go · Security Data Pipelines · AWS Certified Developer

About

I build backend systems that manage the realities of production, including high-throughput data pipelines and the infrastructure that keeps everything running reliably behind the scenes. My core stack includes Python and Go, along with Docker, PostgreSQL, Redis, and AWS. I place a strong emphasis on observability, fault isolation, and building systems that degrade gracefully instead of failing catastrophically. Outside of work, I contribute to open source and write technical articles about backend engineering. If you're working on backend, infrastructure, distributed systems, AI, or just want to discuss system design, feel free to connect.

Location

Bengaluru

AI stack

hermes agent

hugging face

ollama

openai

opencode

Work experience

Software Developer at Optiv, Nov 2025 - Present · 1 yr, Bengaluru, - Contributed to a centralized, high-throughput Threat Management Platform used to manage client findings and generate reports across multiple security assessments, improving operational efficiency and accelerating delivery for internal teams and clients. - Designed and developed an internal SDK to standardize platform integrations, reducing new use-case development time by 75% and enabling automation across 15+ integrations, which helped scale the platform faster with less engineering overhead. - Built ingestion service components with reliability-focused design, including event ordering, idempotent processing, and dead-letter handling, helping minimize data loss, improve system resilience, and support consistent processing at high volume.

SDE and AI Intern at Intervue.io, Mar 2025 - Oct 2025 · 8 mos, Bengaluru, - Reduced RAG pipeline latency from 25s to 7s by refining embedding models and optimizing search strategies, improving throughput for real-time candidate analysis. - Developed containerized microservices for a Voice AI agent (STT → LLM → TTS) and designed a graph-based conversation state machine to support context-aware interactions and deterministic flow control. - Partnered with system architects to redesign backend modules and data models, cutting critical production incidents by 40% through greater consistency and improved fault isolation.

Software Engineer Internship at Greenie Web, May 2023 - Jul 2023 · 3 mos, Singapore, I contributed to backend performance optimization and API stability improvements throughout my internship. - Improved backend performance by 25% through targeted query optimization, careful refactoring, and code-level efficiency enhancements. - Strengthened production API reliability by implementing defensive error handling and adding monitoring hooks to help detect and address issues under load. - Improved QA workflows by building Python automation scripts that streamlined repetitive tasks and made bug tracking more efficient.

Education

Master of Technology - MTech, Computer Software Engineering, Vellore Institute of Technology

11th-12th, Science, Utkarsh school of excellence

Public links

github: https://github.com/namra4122

maniarnamra.com: https://maniarnamra.com/

youtube.com: https://youtube.com/@maniarnamra

medium: https://medium.com/@namra4122