Parikshit Rohit Pravin Srivastav
I'm Parikshit Srivastav, an AI Engineer with a focus on building production-grade ML and GenAI platforms across NLP, LLMs, and computer vision.
About
I’m Parikshit Srivastav, an AI Engineer with a focus on building production-grade ML and GenAI platforms across NLP, LLMs, and computer vision. I specialize in fine-tuning LLMs (LoRA, quantization), creating scalable RAG pipelines, and deploying models on AWS SageMaker in cloud-native, containerized environments. I have delivered real-time AI solutions for finance, industrial automation, and enterprise use cases, and I thrive working with cross-functional teams to push the boundaries of AI capabilities.
I enjoy building robust annotation and evaluation tools, automating data ingestion and retraining pipelines, and delivering user-friendly interfaces that help teams test and iterate new prompts and models quickly. I’m always learning and sharing knowledge to drive innovation across organizations.
- 4 years' experience
- Joined August 2025
Skills· 19
Languages
- EnglishFluent
- HindiAdvanced
Industry experience
- Financial Services
- Manufacturing
- Education
- Software & Internet
Work experience· 6 roles
Led C++ programming labs for Data Structures & Program Design, improving student success rate. Mentored 50+ students in advanced C++ concepts, debugging techniques, and best practices.
Led C++ programming labs focusing on Data Structures and Program Design, improving student success rates by 9%. Developed and reviewed complex assignments emphasizing STL, memory management, and algorithm optimization. Mentored more than 50 students in advanced C++ best practices and debugging techniques.
Designed and deployed GenAI tools using Python and FastAPI to support annotation workflows and evaluation pipelines for 1,000+ daily users. Built production-grade RAG systems with ChromaDB/FAISS and data pipelines for JSONL/CSV. Fine-tuned open-source LLMs (LLaMA) on AWS SageMaker and deployed endpoints via SageMaker Endpoints with API Gateway and AWS Lambda. Developed full-stack interfaces with React.js and FastAPI for real-time LLM output evaluation. Automated dataset ingestion with Airflow for nightly retraining (99% reliability) and created automated LLM evaluation pipelines using BLEU, ROUGE, METEOR to assess quality and factual accuracy across models.
Education
Certifications and awards
Hire Parikshit Rohit Pravin Srivastav today
Post a job and invite Parikshit, or contact them directly. No hidden commission.