I develop intelligent systems with a strong emphasis on practical impact and scalability. With experience spanning high-growth startups and multinational corporations, I have delivered AI solutions across NLP, Computer Vision, and Voice AI. I build efficient, domain-specific models tailored to business needs - using both Gen AI and traditional ML algorithms.
- Full finetuning, LoRA, QLoRA
- Text classification: ModernBert, Bert, DistilBert
- Image classification: YOLO, ViT
- Custom NER modeling
- Full document classification
- Document parsing, chunking
- Semantic search, keyword search, FAISS+HNSW, vector DBs
- Re-ranker, LLMs
- Automatic Speech Recognition (ASR)
- Speaker diarization using agglomerative clustering
- Voice cloning (Coqui TTS, Tortoise TTS, and ElevenLabs)
- Text parsing
- Image and diagram extraction
- Text extraction from images ( OCR)
- Curation of high quality custom real-world data
- High quality synthetic data generation using LLMs
- Data labelling, augmentation using LLMs
- Data wrangling, visualization and analysis
- Red teaming LLMs: Created frameworks and then built datasets to evaluate LLMs for bias (against protected classes)
- AI Audit: Creating SOPs for clients to ensure their AI development meets legal, ethical, and regulatory compliance.
- Working on PII detection and custom NER modeling
Generative AI, LLMs NLP , Computer Vision, Voice AI RAG, Responsible AI, Data Analysis, Data Visualisation Python, SQL Git, Ray
Comfortable working as an individual collaborator, having developed multiple models for domain-specific enterprise use cases. Also thrive in collaborative environment - wisdom of crowds is always a strength.
With proven leadership skills, I have successfully managed small teams, overseeing their daily tasks and facilitating KT. I have led development and production teams for an ahead-of-schedule DataStage version upgrade.