Mohamed Rizwan — Product Manager

“In God we trust. All others must bring data.” – W. Edwards Deming I believe great AI products aren’t built on hype — they’re built on data, clarity, and execution. My background spans across machine learning engineering, data operations, and AI workflow development — but what truly drives me is turning these technical capabilities into scalable, user-focused AI products. I specialize in bridging the gap between business objectives and AI implementation, ensuring that every technical decision maps to measurable impact. At Emerging Technologies, I helped develop and deploy NLP-driven applications, using Hugging Face Transformers, RAG pipelines, and vector databases like Chroma to power intelligent retrieval systems. These initiatives improved prediction accuracy and drastically reduced iteration time, shaping product decisions around real-time feedback loops. Currently at TransPerfect, I operate at the intersection of data governance, process automation, and operational intelligence. I ensure data quality, compliance, and scalability across structured and unstructured sources — enabling product and strategy teams to make informed decisions faster. My work in workflow automation and dashboard optimization has improved visibility and reduced reporting overhead across internal teams. I’m driven by a simple question: How can AI move from prototype to product — faster, safer, and smarter? If you're building AI products that need technical depth with product-thinking discipline, let’s talk. Core Skills AI Product Strategy & Roadmapping End-to-End AI Project Lifecycle Management Requirements Gathering & Stakeholder Alignment AI Solution Scoping (MVP to Production) Data-Driven Decision Making & Experimentation Design Cross-Functional Collaboration (Engineering · Data · Business) AI/ML Implementation & Workflow Automation NLP & RAG Pipeline Integrations Model Deployment & Iteration Frameworks Data Compliance · Governance · Security Controls User Feedback Loop Integration & KPI Tracking Process Optimization & Reporting Automation

Stackforce AI infers this person is a skilled AI and Machine Learning professional with a focus on product development and data governance.

Location: Chennai, Tamil Nadu, India

Experience: 3 yrs 7 mos

Skills

Ai Product Strategy & Roadmapping
Ai/ml Implementation & Workflow Automation
Data-driven Decision Making & Experimentation Design
Nlp & Rag Pipeline Integrations

Career Highlights

Expert in AI product strategy and implementation.
Proven track record in enhancing model performance.
Skilled in cross-functional collaboration for AI projects.

Work Experience

TransPerfect

Ai Data Associate(Data Force) (1 yr 8 mos)

Quality Analyst (11 mos)

Emerging Technologies

Machine Learning Engineer(Automotive Systems) (1 yr)

Hex N Bit

Python Developer (1 mo)

Nanotech integrated solutions

Security Analyst (1 mo)

Education

Master of Technology - M.Tech at Visvesvaraya National Institute of Technology

Bachelor of Engineering - BE at VELS University

HSE at Maharashtra State Board of Secondary and Higher Secondary Education (MSBSHSE)

IGCSE at University of Cambridge

Mohamed Rizwan

Product Manager

Chennai, Tamil Nadu, India3 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI product strategy and implementation.
Proven track record in enhancing model performance.
Skilled in cross-functional collaboration for AI projects.

Stackforce AI infers this person is a skilled AI and Machine Learning professional with a focus on product development and data governance.

Contact

Skills

Core Skills

Ai Product Strategy & RoadmappingAi/ml Implementation & Workflow AutomationData-driven Decision Making & Experimentation DesignNlp & Rag Pipeline Integrations

Other Skills

A/B TestingAI product requirementsAWS SageMakerAgile MethodologiesArtificial Intelligence (AI)Client RelationsCloud ComputingCommunicationConsultingContinuous Integration and Continuous Delivery (CI/CD)Customer SatisfactionDAXData AnalysisData AnalyticsData Annotation

About

Experience

3 yrs 7 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 7 mos

Current Experience

Transperfect

2 roles

Ai Data Associate(Data Force)

Promoted

Oct 2024 – Present · 1 yr 8 mos · On-site

Partnered with cross-functional teams (engineering, data science, and QA) to define AI product requirements, prioritize features, and oversee sprint deliverables for computer vision and NLP-based solutions.
Owned the product roadmap for AI data workflows, enabling 20% faster experimentation and 15% improvement in model performance metrics.
Conducted user research and requirement analysis with global clients to translate business objectives into clear PRDs and user stories.
Drove implementation of data quality governance frameworks improving dataset reliability and reducing deployment bottlenecks by 30%.
Monitored key performance metrics across AI product lifecycle — from data scoping to production integration — ensuring alignment with business goals.

AI product requirementssprint deliverablesdata quality governanceperformance metricsAI Product Strategy & RoadmappingAI/ML Implementation & Workflow Automation

Quality Analyst

Nov 2023 – Oct 2024 · 11 mos · On-site

As a Quality Analyst in AI-driven e-commerce projects, I focused on ensuring data excellence and model efficiency throughout the machine learning lifecycle. My responsibilities included maintaining the accuracy, consistency, and integrity of large-scale datasets used for AI/ML training.
I designed and implemented data validation and cleansing pipelines, reducing data errors and enhancing input quality for predictive and recommendation models. By collaborating with cross-functional teams — including data engineers, annotators, and product managers — I helped establish and maintain data quality standards aligned with both business and technical goals.
Through these efforts, I contributed to improving model accuracy, reducing noise in datasets, and driving smarter, more personalized e-commerce experiences powered by AI.

data validationdata cleansingcross-functional collaborationdata quality standardsData-Driven Decision Making & Experimentation DesignAI/ML Implementation & Workflow Automation

Emerging technologies

Machine Learning Engineer(Automotive Systems)

Nov 2022 – Nov 2023 · 1 yr · Valsad, Gujarat, India · Remote

Designed and deployed machine learning models for advanced driver-assistance systems (ADAS) and autonomous driving pipelines, focusing on object detection, lane detection, and traffic sign recognition using frameworks such as TensorFlow, PyTorch, and YOLO.
Engineered and optimized computer vision algorithms to process real-time sensor data (camera, LiDAR, and radar), improving object detection accuracy by 20% and reducing inference latency by 30%.
Built and maintained automated training pipelines and MLOps workflows to accelerate model experimentation, versioning, and deployment in continuous integration/continuous deployment (CI/CD) environments.
Conducted extensive validation and performance testing in simulated and real-world driving scenarios to ensure model stability, robustness, and compliance with automotive safety requirements.
Researched and applied advanced techniques such as sensor fusion, transfer learning, and edge optimization to improve perception capabilities and resource efficiency on in-vehicle hardware.

machine learning modelscomputer vision algorithmsautomated training pipelinesMLOps workflowsAI/ML Implementation & Workflow AutomationNLP & RAG Pipeline Integrations

Hex n bit

Python Developer

Jul 2021 – Aug 2021 · 1 mo · Noida, Uttar Pradesh, India · Remote

Worked as a python developer intern and also worked with various python libraries like pandas,numpy etc and also worked on a hotel management project using python and also implemented automated bill generating system

Pythonpandasnumpy