Tabish Mazhari

Software Engineer

Bengaluru, Karnataka, India5 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable backend systems.
Proven track record in AI and automation integration.
Strong experience in cloud platforms and microservices.

Stackforce AI infers this person is a Backend Engineer with expertise in AI-driven solutions for SaaS and logistics industries.

Contact

Skills

Core Skills

Backend DevelopmentCloud AutomationPerformance OptimizationDevopsAi IntegrationData IngestionLogistics SolutionsMicroservices

Other Skills

AWSAutomationAzureC (Programming Language)CeleryCore JavaData Structures and AlgorithmsDistributed SystemsDjangoDockerElasticsearchFastAPIFlaskGCPGenerative AI

About

love solving complex engineering problems and building (or fixing) large-scale backend systems. I’m passionate about designing scalable, resilient architectures using Python, FastAPI, Redis, Kafka, and applying AI and automation thoughtfully to real-world challenges. I’ve worked across global product teams, delivering systems that blend performance, reliability, and intelligence — from cloud platforms to intelligent automation. I enjoy creating solutions that are both technically elegant and impactful. Outside of work, you’ll find me mentoring fellow engineers, sipping oversized cold coffees, and occasionally turning tech struggles into memes :)

Experience

5 yrs 9 mos

Total Experience

1 yr 1 mo

Average Tenure

Current Experience

Hewlett packard enterprise

Software Engineer 3

Jul 2023 – Jun 2024 · 11 mos · Bengaluru, Karnataka, India

>Built a FastAPI-based LLM assistant (Claude, Groq) in Python to summarize support tickets and recommend fixes, reducing manual triage time by 35%.
>Optimized job scheduling API by introducing Redis caching and binary serialization (Protocol Buffers), improving average response latency by 40%.
>Automated CI/CD pipelines using Docker and GitHub Actions, reducing release turnaround time by 50%.
> Led the initiative to implement post-deployment validation checks using health endpoints and automated test scripts, improving release reliability across staging and production.

PythonFastAPIRedisDockerGitHub ActionsBackend Development+1

Airbus

Sde2

Sep 2021 – Jul 2023 · 1 yr 10 mos · On-site

> Integrated a Generative AI module (LangChain + OpenAI API) to auto-generate structured repair summaries from damage descriptions, reducing manual documentation effort by 25%.
> Designed and implemented Python-based FastAPI backend for aircraft damage reporting and repair workflows, enabling maintenance teams to upload images, log damages, and track repair progress digitally
>Implemented asynchronous task queues using Celery and Redis to offload image processing and validation, improving API responsiveness and stability under high data load.

PythonFastAPIGenerative AICeleryRedisBackend Development+1

Mercedes-benz research and development india

Senior Software Engineer

Mar 2021 – Sep 2021 · 6 mos · Bengaluru, Karnataka, India · On-site

> Developed Python (Flask) based REST APIs to ingest and validate real-time telemetry from autonomous vehicle test fleets, detecting missing intervals and enabling replay from edge buffers to ensure reliable data ingestion.
>Designed a chunk-validation mechanism using hash-indexed sliding windows to detect gaps and reorder out-of-sequence telemetry packets in near real time, improving ingestion accuracy and reducing missing data by 35%.
>Integrated structured logging and observability using Prometheus, Grafana, and Sentry to monitor upload performance, detect stalled sessions, and trigger alerts — reducing issue resolution time by 30%.

PythonFlaskREST APIsPrometheusGrafanaBackend Development+1

Blue yonder

Product Engineer

Jan 2020 – Feb 2021 · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

> Designed and developed backend services using Python (FastAPI) for the Transport Management System (TMS) — a large-scale logistics product handling shipment planning and route optimization.
>Built a self-healing automation framework that detected recurring production issues and triggered automated fixes, reducing support tickets by 71% in one quarter.
>Implemented Kafka-based event-driven monitoring and recovery workflows, improving system uptime and fault tolerance across customer environments.

PythonFastAPIKafkaAutomationBackend DevelopmentLogistics Solutions

Ibm

Software Development Engineer

Jul 2018 – Dec 2019 · 1 yr 5 mos · Hyderabad, Telangana, India · On-site

>Developed Python (Django) microservices to provision and monitor cloud resources across AWS, Azure, and GCP, reducing manual configuration effort by 40%.
>Automated multi-cloud pricing aggregation and cost comparison services to recommend optimal deployment configurations for enterprise clients.
>Contributed to building a scalable, service-oriented architecture for cloud automation and orchestration.

PythonDjangoAWSAzureGCPCloud Automation+1