Faizan Mirza

AI Researcher

Pune, Maharashtra, India5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI model evaluation and optimization.
Proficient in prompt engineering for large language models.
Strong background in data annotation and quality assurance.

Stackforce AI infers this person is a skilled AI Analyst with expertise in automotive and generative AI technologies.

Contact

Skills

Core Skills

Prompt EngineeringAi Model EvaluationData AnnotationMachine Learning

Other Skills

Large Language Models (LLMs)Data CollectionMachine Learning BasicsGenerative AIAI Safety & AlignmentNatural Language Processing (NLP)LLM Evaluation & TestingContent ModerationData Annotation & Quality AssuranceData EntryTroubleshootingData ScienceData-flow DiagramsData FlowPresentation Skills

Experience

5 mos

Total Experience

5 mos

Average Tenure

5 mos

Current Experience

Innodata inc.

Analyst - AI/LLM Practice

Jan 2026 – Present · 5 mos · C-25, 8th Floor, Stellar IT Park, Sector-62, Noida U.P. 201309 · Remote

Working as an Analyst in the AI/LLM Practice, focusing on the development, evaluation, and optimization of large language model (LLM) solutions. Involved in prompt engineering, data annotation, and improving model performance through structured feedback and analysis. Collaborating with cross-functional teams to ensure high-quality AI outputs aligned with business and user requirements.
Designed and optimized prompts to improve LLM response quality and consistency.
Evaluated AI-generated outputs for accuracy, relevance, and safety.
Provided structured feedback to enhance model performance.
Collaborated with teams to align AI outputs with user and business needs.
Contributed to continuous improvement of AI systems and workflows.

Prompt EngineeringLarge Language Models (LLMs)AI Model Evaluation

Nvidia

Process Associate - Data Annotation

Feb 2025 – Jan 2026 · 11 mos · Maharashtra, India · Remote

Worked as Process Executive (DATA FACTORY) for Nvidia India, Maharashtra through Spectrum Consultants.
Service Area: Data services
Service Line: Tech - Other
Technical Environment: Hatch Tool
Client: Nvidia Designs Graphics Processing Units (GPUs) for the professional marketing and gaming, as well as system on a chip unit (SOCs) for mobile computing and automotive market.
My project is to develop an Auto-drive machines (Automotive company’s partners like Audi, Tesla, Volkswagen, Mercedes-Benz, Volvo, Toyota) by using the concept of artificial intelligence with the help of DNN (Deep Neural Networking), Machine Learning with selecting data, optimizing it and classify it and providing to machine by machine learning techniques. Enhancing data collection procedures to include information that is relevant for building analytic systems.
Project Details
Project Name: Semantic Segmentation and Lane detection
Description: Semantic segmentation refers to the process of linking each pixel in an image to a class label. Lane detection includes localization of the road, the determination of the relative position between vehicle and road, and the analysis of the vehicle heading direction. To detect road boundaries and lanes using vision system on the vehicle.
Role & Contribution
Role: Checking files quality
Contribution:
Checking files for various moving and static images, videos.
Analysis of logs taken during checking, identifying defects, rising tickets and follow up with them.
Ensuring quality of files to meet the customer requirements.
Documenting customer feedback and giving training to team members.
Technologies: ADAS
Tool: Humanloop.nvidia,Hatch
Project Name: LIDAR
Project Name: Object Detection
Projects: Facial Expression Detection, Signal, Text Etc.