Avinash N

Analytics and AI Professional

About

AI quality and training specialist with hands-on experience in LLM evaluation workflows, and multilingual factuality verification. Proven track record of leading teams to exceed quality benchmarks while reducing handling time.

Skills

Programming languages: T-SQL, Python

Tech Stack: Zapier, Power BI, Excel

Employment

Mar '25 - Present Invisible Technologies Quality Analyst - Citation & Factuality | Tamil Team Lead

• Led a 15-member Tamil language team, driving quality evaluation for accuracy and factual correctness of LLM responses in Tamil and English.

• Elevated team quality rate from approximately 34–50% to over 95% within four months, exceeding the client’s 85% benchmark on QC pass rates while simultaneously reducing Average Handling Time

• Conducted weekly QC reviews of 100+ tasks, assessing rating accuracy, search query formulation, source quality, justification strength, and evidence alignment

• Onboarded new team members across 10+ language teams and collaborated with other leads to update evaluation guidelines

• Evaluated citation relevance, necessity, and alignment with model responses; identified hallucinations and unsupported claims

Apr '24 - Mar '25 Invisible Technologies Advanced AI Trainer

Coding

• Evaluated model-generated Python code across multiple dimensions: functional correctness, logical validity, constraint satisfaction, edge case handling, test case pass rate, readability, and exception handling quality

• Classified code errors by type and severity, including compilation/runtime failures, instruction-following gaps, and expected versus actual output mismatches

Multimodal

• Evaluated AI-generated images against user reference images for visual consistency, facial preservation, style accuracy, artifact detection, and prompt coherence; provided scoring rationales to support model improvement

• Annotated short-form videos by captioning on-screen text and labeling user actions with precise time-frame alignment to improve temporal understanding

Oct '23 - Mar '24 Intellipaat Data Analyst - Internship

• Built Python scripts that automated 70% of data preprocessing tasks, reducing manual effort by 15 hours weekly.

• Collaborated with fellow interns to develop a sentiment analysis model for customer feedback, using NLTK.

Projects

Fraud Transaction Prediction

Developed a high-precision model that attained a 99% accuracy rate measured by the AUC. Improved model performance by implementing oversampling techniques and fine-tuning precision and recall. GitHub

Twitter Sentiment Analysis

Implemented BERT model for tweet sentiment classification. GitHub

Education

May '23 PSG College of Arts & Science Bachelor of Commerce with Computer Applications

Certifications

2024 Advanced Certification in Data Science & AI | IIT Madras, Intellipaat

2024 Generative AI with LLMs | DeepLearning.AI, AWS

Positions of Responsibility

2020-23 Young Indians Chairperson

Led strategic initiatives to empower youth leadership and promote thought leadership. Managed diverse verticals, including Innovation, Entrepreneurship, and Climate Change, fostering collaboration and a positive team culture.

2020-23 PSG CAS Event Organizer

Organized inter and intra-college events, demonstrating effective communication and quick decision-making skills. Collaborated with teams to enhance participant experiences and ensure event execution success.

References

Available on request.