Farhan Munir
Experienced Engineering Lead with 15+ years in software development, cloud architecture, and DevOps,
with expertise in dynamic startup settings. Proficient in developing scalable web applications using
FastAPI, Django , (Laravel, React, Python, NextJS, and VueJS. Experienced in database design, backend
systems, and AWS cloud platforms. I offer excellent communication, meticulous attention to detail, and a
strategic approach to conflict resolution and team collaboration. Seeking to lead engineering initiatives
and deliver high-quality, user-centric products.
Professional Experience
Senior Backend/AI Developer
Resolve-Analytics
United States of America
Oct-2025 - Present
At Resolve Analytics, I worked as a Senior Backend AI Engineer, building backend systems for vehicle
detection, tracking, and classification. Key contributions included:
● Designed and implemented AWS-backed infrastructure to support an AI video analytics pipeline
using YOLOv9 and Qwen 2.5 models for detection and inference workloads.
● Developed backend APIs using Flask, supporting ingestion, job orchestration, and retrieval of
detection results.
● Implemented WebSocket-based real-time communication to stream inference updates and
results to the frontend with low latency.
● Built a scalable three-component architecture (Frontend, Detection, Inference) coordinated
through AWS SQS queues to ensure reliable asynchronous processing.
● Integrated AWS Cognito authentication for secure user access and session management.
● Produced end-to-end technical documentation (architecture, setup, deployment, runbooks) to
streamline onboarding for developers and clients.
Senior Backend Developer
Gettr
United States of America
Jul-2025 - Oct-2025
At Gettr, I established myself as a Senior Backend Developer using FAST API, video media server
optimization expert and performance engineer (related to API and Transcoding). My key achievements
included:
● Updating the media server for transcoding from FFMpeg 4.0 to FFMpeg 7+. Including 15+
different audio and video codec libraries. Upgraded a Docker based solution that uses less
resources and results in smaller transcoding duration
● Migration of API from a mixture of multiple languages to FAST API. Developed a MOT (Model of
Truth) mechanism for the upgrade of data structure for between new and older systems. Until
final cut over, this translation layer (MOT) will help in pushing data to newer data structure
● Optimization of multi-lingual sub titles, fixing segment duration and total duration using a
combination of GPT and Whisper based translation and sub-title generation
Senior Backend Developer
Prospexs AB (Remote)
Stockholm, Sweden
Jan-2025 - July -2025
At Prospexs AI, I play a key role in shaping the backend architecture and AI-powered features that drive
our real-time prospecting platform. My work spans backend engineering, cloud infrastructure, AI
integration, and even technical hiring. Here’s an overview of what I do:
● Backend Development & API Optimization: I build and maintain high-performance backend
systems using Python FastAPI, focusing on making APIs fast, scalable, and reliable. To support
real-time data flow, I implement asynchronous programming and WebSocket-based
communication, leveraging PubNub as our messaging broker to ensure smooth interactions
between backend and frontend.
● Data Acquisition & Privacy Compliance
Ensured data acquisition workflows complied with GDPR-equivalent standards for user data
processing and storage.
● AI-Powered Synergy Matching: I spearheaded the design and implementation of an advanced
synergy matrix using large language models (LLMs) and AI. This system analyzes over 40 factors
to calculate a precise matching score between leads and users searching for prospects. The
AI-driven scoring helps us intelligently select or reject leads, significantly improving lead quality
and relevance.
● Data Processing at Scale with AWS Databricks:
I leveraged AWS Databricks to design and execute high-throughput data pipelines for lead
scoring and feature extraction across multi-source datasets. This improved the efficiency of
model inference and analytics workflows by over 60%, enhancing the real-time responsiveness
of our AI matching engine.
● Frontend Collaboration & Optimization: I collaborated with frontend teams using TypeScript
and React to deliver real-time ML insight dashboards. I helped reduce rendering times by 20%,
improving the experience for over 10,000 active monthly users.
● Cloud Infrastructure & DevOps: I manage and enhance our AWS infrastructure, driving
automation in deployment workflows and continuously refining our CI/CD pipelines. This
ensures faster, more reliable releases and keeps our platform robust under load.
● Containerization & Docker Efficiency: I lead research into container strategies and optimize
Docker images, cutting build times and reducing resource consumption—key improvements that
streamline our development and deployment on AWS ECS.
● AI Integration & Token Optimization: Leading prompt engineering efforts, I optimize LLM token
usage to boost AI feature performance while lowering operational costs. I design end-to-end AI
pipelines that enhance scalability and system reliability.
● Innovation & Continuous Learning: I stay on the cutting edge by researching new backend
technologies, DevOps tools, and AI advancements, applying them to improve our products and
engineering processes.
● Documentation & Teamwork: I maintain clear technical documentation to support
collaboration, smooth onboarding, and ongoing knowledge sharing across teams.
Senior Software Engineer
SiriusMindShare Lab
California, USA
Apr 2023 – Dec 2024
At SiriusMindShare Lab, I was deeply involved in building and scaling Python-based backend systems and
cloud infrastructure, while also integrating machine learning (ML) and large language models (LLMs) to
unlock new capabilities. My work helped improve both the performance and intelligence of our
applications, making them more responsive and insightful for users. Here’s what I focused on:
● ML & LLM-Driven Email Parsing: Built an advanced system to analyze and extract valuable
insights from thousands of incoming emails. This solution leveraged machine learning methods,
including Named Entity Recognition (NER) with transformer models like DistilBERT and
prompt-engineered LLMs such as GPT-4, to efficiently summarize and classify email content. By
applying NLP techniques, including transformer-based classification and summarization for
document processing, it significantly enhanced customer communication and operational
efficiency.
● Model Lifecycle Management: Maintained and retrained ML models in response to changing
data patterns and business objectives
● Mentorship & Team Leadership: Guided junior developers by sharing best practices in Python
and ML model integration, creating a supportive environment where everyone could grow their
skills.
● Backend Development: Designed and built RESTful APIs using Flask, with asynchronous features
for better scalability. Incorporated ML models in the backend to enhance data processing and
provide smarter responses. I used RabbitMQ as the backbone for event-driven communication
to keep things running smoothly.
● Cloud Infrastructure Setup: Set up and managed AWS resources—like EC2, S3, IAM roles, and
EKS clusters—to ensure our applications were scalable and secure, with smooth deployment
pipelines.
● Automation & Scripting: Created Python and Bash scripts to automate module generation and
maintenance tasks, diving into Linux permissions and Python internals to make these tools
reliable and efficient. Developed monitoring tools to track model performance, detect drift, and
trigger automated retraining pipelines
● API Documentation: Streamlined API docs using FastAPI’s built-in OpenAPI (Swagger) support,
helping both internal teams and external clients understand and use our services better.
● Performance Testing: Ran load and stress tests with tools like JMeter and Locust on Docker, ECS,
and Kubernetes (EKS) environments to keep our systems robust and ready for high traffic.
● Communications: Collaborated with frontend teams using TypeScript and React to deliver
real-time ML insight dashboards
Sr Software Developer
Aug 2019 - Apr 2023
AgileSEO
Led and contributed to multiple successful projects with a strong focus on automation, internal tooling,
and infrastructure optimization:
● Designed and implemented an automated SEO task management system integrating Zapier,
Trello, and SEMrush, enabling real-time generation of SEO tasks based on live website analysis.
● Developed and deployed internal content generation tools using Flask and VueJS, leveraging
Retrieval-Augmented Generation (RAG) for enhanced AI-driven content workflows.
● Established and enforced a standardized code review process across engineering teams,
improving code quality, maintainability, and team collaboration.
● Migrated core infrastructure from AWS to DigitalOcean, achieving significant cost savings and
streamlined system administration practices.
● Managed day-to-day DevOps and system administration tasks, ensuring system stability,
performance, and security.
Chief Operating Officer
NexDegree (Pvt) Limited
Jul 2015 – Dec 2019
Key responsibilities included - operations management, supporting Chief Strategy Officer & CEO during
sales drive, effective HR decisions, and workflow automation. During my tenure, I :
1. Played pivotal role in securing major deals with FMCG ($152 billion market in Pakistan) and
MENA region based health care provider (tele-medicine). As a direct result company’s revenue
jumped 250% over a fiscal year
2. Projected brand image by taking active participation in University events, organizing charity
drives for Corporate Social Responsibility causes and Social Media activism. This helped in
attracting better talent and brand consciousness
3. Built and led a high-performing backend engineering team of 8 developers, implementing agile
practices and code review standards that reduced bug rates by 15% and improved delivery
timelines by 25%.
PMO Manager
NexDegree (Pvt) Limited
Sep 2013 – Jul 2015
As a PMO manager, I was responsible for managing a team of 10 Project Managers with additional
responsibilities of looking after key projects. My major accomplishments included:
1. Standardization of PMO documentations and procedures within the company. Company wide
implementation of Atlassian product suite for Project Management, DevOps, and documentation
2. Successful completion of Big Data project for the urban utility with 2.2 million subscribers.
Project involved development of a tool for detecting power theft with over 70% accuracy.
3. Implemented automated testing pipelines using pytest and Jest for backend and frontend
services, achieving 85% test coverage and reducing regression defects by 30%.
Lead Project Manager
August 2009 – September 2013
NexDegree (Pvt) Limited
As Lead Project Manager, I was responsible for flagship projects. My tenure is marked by following
achievements:
1. Management of multiple projects for our MVP customer MaestroConference. These successful
projects played a major role in creating a long term relationship. MaestroConference had the
honor of being a teleconferencing tool for the Obama Campaign. Developed DR on AWS that
contains EC2 / RDS / AWS Elastic Transcoder / S3 storage for recordings and Redshift for
analysis/reports
2. Successful launch of Pakistan’s first major E-Commerce website (TCSConnect.com/Yayvo.com)
with architecture to support over thousands of concurrent users.
Rest of Positions
Company
Position
Tenure
NexDegree Private Limited
Software Architect
July-2008 till August-2009
Self Employed
Freelancer / Self Employed
June-2006 till June-2008
NexOps Private Limited
Software Architect
Dec-2005 till May-2006
Education
Bachelor of Engineering (Electrical)
NED University of Engineering and Technology
Distinctions
Country Winner of 2015 UNIDO / GEF CleanTech Open Challenge
Certifications
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Udemy - AWS Certified Solutions Architect - Associated 2018 [View Certificate]
Udemy - Learn DevOps: Infrastructure Automation With Terraform [View Certificate]
Udemy - An Entire MBA in 1 Course [View Certificate]
Udemy - OpenAI Python API Bootcamp: Learn to use AI, GPT, and more! [View Certificate]