I am a software engineer specializing in backend development, data-driven applications, and AI/ML integration. I recently completed my Master of Science in Computer Science (Data Analytics) at the University of Houston, where I built a strong foundation in cloud computing, databases, and intelligent systems. Currently, I work as an AI/ML Backend Engineer at MarketEQ Digital, where I design microservices in NestJS, TypeScript, and Python, develop PostgreSQL schemas and APIs, and integrate with Cloudflare R2 for secure storage. Previously, I contributed to global logistics and analytics platforms at Eunimart, where I built data pipelines, APIs, and dashboards, and at FewCuts, where I engineered end-to-end media automation pipelines using FastAPI, PyTorch, and computer vision frameworks. My portfolio also includes projects like ResearchGPT, a full-stack AI research assistant powered by LangChain and GPT, and ChequeExtractor Pro, an intelligent document automation system built on Google Document AI. I bring expertise in Python, JavaScript/TypeScript, Java, SQL, and cloud platforms (AWS, GCP, Azure), along with hands-on experience in LLMOps, GenAI, and real-time analytics systems. I thrive in fast-paced, collaborative environments, with a proven ability to translate business needs into scalable technical solutions. Outside of coding, I am passionate about applied AI, agentic automation, and building systems that bridge research with industry impact. I am currently seeking opportunities to apply my skills in backend engineering, AI-driven platforms, and cloud-native applications.

Faraaz Rehan Junaidi Mohammed

I am a software engineer specializing in backend development, data-driven applications, and AI/ML integration. I recently completed my Master of Science in Computer Science (Data Analytics) at the University of Houston, where I built a strong foundation in cloud computing, databases, and intelligent systems. Currently, I work as an AI/ML Backend Engineer at MarketEQ Digital, where I design microservices in NestJS, TypeScript, and Python, develop PostgreSQL schemas and APIs, and integrate with Cloudflare R2 for secure storage. Previously, I contributed to global logistics and analytics platforms at Eunimart, where I built data pipelines, APIs, and dashboards, and at FewCuts, where I engineered end-to-end media automation pipelines using FastAPI, PyTorch, and computer vision frameworks. My portfolio also includes projects like ResearchGPT, a full-stack AI research assistant powered by LangChain and GPT, and ChequeExtractor Pro, an intelligent document automation system built on Google Document AI. I bring expertise in Python, JavaScript/TypeScript, Java, SQL, and cloud platforms (AWS, GCP, Azure), along with hands-on experience in LLMOps, GenAI, and real-time analytics systems. I thrive in fast-paced, collaborative environments, with a proven ability to translate business needs into scalable technical solutions. Outside of coding, I am passionate about applied AI, agentic automation, and building systems that bridge research with industry impact. I am currently seeking opportunities to apply my skills in backend engineering, AI-driven platforms, and cloud-native applications.

Available to hire

I am a software engineer specializing in backend development, data-driven applications, and AI/ML integration. I recently completed my Master of Science in Computer Science (Data Analytics) at the University of Houston, where I built a strong foundation in cloud computing, databases, and intelligent systems.

Currently, I work as an AI/ML Backend Engineer at MarketEQ Digital, where I design microservices in NestJS, TypeScript, and Python, develop PostgreSQL schemas and APIs, and integrate with Cloudflare R2 for secure storage. Previously, I contributed to global logistics and analytics platforms at Eunimart, where I built data pipelines, APIs, and dashboards, and at FewCuts, where I engineered end-to-end media automation pipelines using FastAPI, PyTorch, and computer vision frameworks.

My portfolio also includes projects like ResearchGPT, a full-stack AI research assistant powered by LangChain and GPT, and ChequeExtractor Pro, an intelligent document automation system built on Google Document AI.

I bring expertise in Python, JavaScript/TypeScript, Java, SQL, and cloud platforms (AWS, GCP, Azure), along with hands-on experience in LLMOps, GenAI, and real-time analytics systems. I thrive in fast-paced, collaborative environments, with a proven ability to translate business needs into scalable technical solutions.

Outside of coding, I am passionate about applied AI, agentic automation, and building systems that bridge research with industry impact. I am currently seeking opportunities to apply my skills in backend engineering, AI-driven platforms, and cloud-native applications.

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Experience Level

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Expert
Intermediate
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Language

English
Fluent
Hindi
Advanced

Work Experience

Software Developer Intern at Eunimart
July 31, 2023 - July 24, 2025
Contributed to the development and maintenance of iOS and Android features for internal dashboards using Swift and Kotlin, improving UI responsiveness and performance across devices. Collaborated with UI/UX teams to redesign components for mobile, enhancing accessibility and increasing user satisfaction by 25%. Integrated RESTful APIs for mobile applications, implementing robust error handling and debugging tools for real-time data sync and offline support. Participated in the full mobile development lifecycle—from feature planning and prototyping to testing and App Store deployment.
Research and Software Development Intern at FewCuts Inc
November 30, 2022 - July 24, 2025
Built cross-platform features using React Native and Kotlin, streamlining data pipelines into mobile dashboards with real-time UI updates. Developed and executed unit and UI tests using Xcode and Android Studio, identifying and resolving 30% of runtime issues during QA cycles. Assisted in designing intuitive user flows and wireframes, contributing to mobile UX improvements in event-driven applications. Integrated analytics tools for mobile user tracking, enabling data-driven feature enhancements and better user engagement metrics.
AI/ML Backend Engineer at MarketEQ Digital
July 1, 2025 - Present
Built and maintained two backend microservices (ActivityWatch ingestion and Screenshot upload) behind the API Gateway using NestJS (TypeScript) and Python. Designed PostgreSQL schemas and TypeORM migrations for activity events and screenshot metadata; shipped REST APIs with pagination and time-range filters (8-hour scan windows). Integrated Cloudflare R2 object storage with streaming uploads and signed URLs; implemented upload, list, and retrieve endpoints through the gateway. Containerized services with Docker and deployed on Render; improved build reliability by adopting SWC. Collaborated with product to prototype and test prompt-based features using OpenAI or HuggingFace.
Software Developer at Eunimart
July 1, 2023 - September 12, 2025
Led development of Marketplace Intelligence Platform—AI-driven analytics in Python/SQL and ML models—boosting insights accuracy and seller engagement. Built Global Logistics Gateway, integrating cross-border logistics APIs and automating order/return workflows, reducing transaction processing time. Delivered real-time dashboards in Power BI and implemented structured Python logging with alerts to monitor AI pipeline health and performance. Optimized Catalog Management System data pipelines and PostgreSQL queries, cutting synchronization latency.
Research and Software Developer at FewCuts
November 1, 2022 - September 12, 2025
Built AutoReels—an end-to-end pipeline that converts long-form videos into 15–60s short reels using speech-to-text and highlight scoring; cut manual editing time by 75% and increased weekly output 3×. Engineered a FastAPI service with Celery/Redis workers leveraging FFmpeg, OpenCV, and MoviePy for shot detection, smart reframing, and burned-in captions across 9:16/1:1/16:9; processed a 60-minute video in under 12 minutes on GPU. Researched and trained a PyTorch ranking model combining transcript cues, scene changes, and speaker/face activity to pick highlights; improved average watch time by ~22% in A/B tests. Built LLM-powered title/description and on-brand caption templates with brand-safety filters; lifted TikTok/IG Reels CTR by ~18%. Shipped publishing integrations for YouTube Shorts, Instagram Reels, and TikTok with scheduling and UTM tracking; added a PostgreSQL-backed analytics view for retention and scroll-through metrics.

Education

Bachelor of Engineering at Osmania University
August 1, 2019 - May 31, 2023
Master of Science in Computer Science with Data Analytics at University of Houston
August 1, 2023 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Gaming, Financial Services, Professional Services, Media & Entertainment