About parthik
I'm an AI/ML Engineer with around 5 years of experience building production-ready machine learning and Generative AI solutions that solve real business problems. My experience spans insurance, retail, and logistics, where I've designed scalable AI systems that improve operational efficiency, automate complex workflows, and deliver measurable business impact.My expertise includes Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and end-to-end machine learning pipelines. I enjoy taking AI products from idea to production by combining modern AI frameworks with scalable cloud infrastructure.Throughout my career, I've worked with technologies including Python, PyTorch, TensorFlow, LangChain, LangGraph, GPT-4o, Claude, AWS Bedrock, SageMaker, Pinecone, ChromaDB, FastAPI, Docker, Kubernetes, MLflow, and Apache Spark to build reliable, high-performance AI applications.Some of the work I've delivered includes: * Built RAG-based knowledge systems that reduced document search and review time by over 40%. * Developed LLM-powered solutions for document understanding and policy summarization, significantly accelerating business workflows. * Engineered AI agent workflows for fraud detection and intelligent decision-making using LangGraph and CrewAI. * Deployed scalable machine learning models on AWS with monitoring, model registry, and automated MLOps pipelines. * Built semantic search, recommendation systems, NLP solutions, and computer vision applications for enterprise customers.I enjoy collaborating with product managers, data scientists, software engineers, and business stakeholders to turn complex ideas into production-ready AI products that users trust.Core Expertise * Generative AI & LLMs (GPT-4o, Claude, Gemini) * Retrieval-Augmented Generation (RAG) * AI Agents & Multi-Agent Systems * LangChain, LangGraph, CrewAI, LlamaIndex * Machine Learning & Deep Learning * MLOps & Model Deployment * AWS Bedrock, SageMaker & Google Cloud Vertex AI * Python, PyTorch, TensorFlow, FastAPI * Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)I'm always interested in connecting with professionals working on AI, Machine Learning, and Generative AI technologies. If you're building innovative AI products or looking for an engineer who enjoys solving challenging problems, let's connect.
Key Skills
Experience
Ai / Ml Engineer
CurrentMetlife
Architected RAG-based retrieval pipelines using LangChain, Pinecone, and vector embeddings to automate claims document search, reducing manual review time by 42% across the claims processing team. - Deployed fine-tuned GPT-4o and Claude models via AWS Bedrock and SageMaker for policy summarization, cutting average underwriting turnaround from three days to under six hours. - Engineered multi-agent workflows with LangGraph and CrewAI to orchestrate fraud detection tasks, flagging suspicious claims with 91% precision and saving an estimated $1.2M annually in losses. - Implemented semantic search using ChromaDB and Hugging Face embeddings across 500K+ policy documents, improving agent query accuracy and reducing escalations to senior underwriters. - Established an MLflow-based model registry and monitoring dashboards to track drift across 15 production models, catching performance degradation within 24 hours instead of weekly audits. - Optimized inference latency for customer-facing chatbots through quantization and prompt engineering, lowering response times by 48% while supporting 10,000+ daily customer interactions. - Partnered with actuarial and compliance teams to design FastAPI microservices exposing risk-scoring endpoints, integrated into three downstream underwriting applications.
Ai Engineer
Maruti Techlabs
* Designed conversational AI chatbots using spaCy, NLTK, and NLU pipelines for retail and logistics clients, automating responses to over 60% of routine customer queries. * Trained and tuned YOLO-based object detection models for warehouse inventory tracking, improving detection accuracy from 78% to 94% across client pilot deployments. * Constructed ETL pipelines with Apache Spark and Airflow to process 2TB+ of daily transactional data, feeding downstream demand-forecasting models. * Delivered sentiment analysis and named entity recognition solutions using Hugging Face transformers, helping a fintech client reduce manual ticket triaging by 55%. * Containerized ML models with Docker and Kubernetes, streamlining deployment across client environments and cutting release cycles from two weeks to three days. * Authored A/B testing frameworks to evaluate recommendation model variants, driving a 12% lift in click-through rate for an e-commerce client's product suggestions.
Education
Sal Institute Of Tech. & Engg. Research, Ahmedabad 067
Masters
Montclair State University
Montclair State University
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Common Questions
What is parthik's expertise?
parthik specializes in Fine-Tuning Engineer, with expertise in c++, claude skills, engineering, google gemini, gpt 4/gpt 4o.
Where is parthik located?
parthik is based in jersey city, new jersey, united states.
How much experience does parthik have?
parthik has 5+ years of professional experience.
How can I contact parthik?
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