I am a Generative AI practitioner focused on building LLM-powered applications, RAG pipelines, GraphRAG systems, and agentic workflows in Python.
I have built end-to-end AI applications using LangChain, LangGraph, Neo4j, ChromaDB, BM25, FastAPI, Docker, and AWS EC2. My work includes legal AI, product recommendation, scholarship discovery, and machine-learning prediction systems.
I developed Digital Vakil, a GraphRAG-powered legal assistant that indexed more than 32,000 chunks from Indian legal reference materials and Acts. Through hybrid retrieval, metadata filtering, query optimization, and evaluation, I improved RAGAS context precision from 0.63 to 0.78.
I bring more than five years of experience in customer operations, quality assurance, SLA management, technical support, and team leadership. This background helps me approach AI solutions with a strong focus on reliability, user needs, process quality, and measurable outcomes.
Since February 2025, I have pursued applied training and self-directed projects in Python, machine learning, deep learning, NLP, and Generative AI. I am seeking opportunities where I can contribute as a GenAI Engineer and continue building production-oriented AI systems.
I am experienced in evaluating retrieval quality, detecting hallucinations, implementing guardrails, deploying APIs, and creating observable AI workflows. I enjoy solving complex information-retrieval and automation challenges with practical, scalable solutions.
Conducted quality audits on four to five escalation calls daily and delivered structured coaching focused on call quality and first-call resolution.
Managed and mentored more than 20 agents through training, process coaching, and pre-shift briefings. Monitored real-time queues and addressed operational bottlenecks to maintain SLA compliance.
Provided technical and customer support for Pearson UK and US operations, including examination scheduling, payment processing, and technical issue resolution.
Worked against AHT, CSAT, and FCR targets while resolving technical issues encountered during online examinations.
Provided voice, email, and chat support for visa-related processes across multiple geographies.
Handled customer interactions across channels while supporting process requirements and issue resolution.
Provided inbound technical support for internet, account, and payment-related issues.
Maintained customer satisfaction standards while resolving telecom support requests and account concerns.
GenAI & Data Science Training, Generative AI and Data Science
Completed applied coursework and self-directed projects in Python, machine learning, deep learning, NLP, and Generative AI. Practiced end-to-end AI workflows including data ingestion, retrieval pipeline design, evaluation, debugging, API development, and deployment.
Bachelor of Commerce, Commerce
Completed Bachelor of Commerce degree.
Bachelor of Computer Applications, Data Science Specialization
Bachelor of Computer Applications with a Data Science specialization; currently in progress and expected to complete in 2028.
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