Priyanshu Choudhary

Product Manager

Mumbai, Maharashtra, India3 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved $2.2M annual cost savings through AI solutions.
Designed chatbots leading to 80% increase in user satisfaction.
Expert in integrating LLMs for enhanced engagement.

Stackforce AI infers this person is a Conversational AI Engineer specializing in BFSI and Telecom sectors.

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Skills

Core Skills

Conversational AiInfrastructure As CodeGenerative Ai

Other Skills

Agent assistAlgorithmsAndroid SDKArtificial Intelligence (AI)BOTBack-End Web DevelopmentBigQueryBitbucketBusiness Intelligence ProjectsBusiness LogicC (Programming Language)CCAIPCascading Style Sheets (CSS)Chatbot DesignChatbots

About

- Conversational & Applied AI Engineer with 3+ years of experience designing, building, and deploying production-grade chatbots, voicebots, and agentic AI systems across BFSI, Telecom, and Energy domains. - Expert in conversational architectures using Dialogflow CX/ES, CCAI, OpenAI Agents SDK, and Google ADK. skilled in integrating LLMs and multimodal models (Gemini, GPT, Claude Sonnet, DALL-E) to automate workflows and enhance engagement. - Proficient in building custom RAG pipelines, implementing agent guardrails, prompt engineering, and infrastructure-as-code (Pulumi). Delivered 50-80% operational efficiency gains and million-dollar cost savings through innovative AI solutions.

Experience

3 yrs 6 mos

Total Experience

2 yrs

Average Tenure

1 yr 6 mos

Current Experience

Telus digital

Application Developer | AI and Automations

Dec 2024 – Present · 1 yr 6 mos · Noida, Uttar Pradesh, India · Remote

Enterprise AI Chatbots & Agentic Systems: Developed and deployed an AI Chatbot for the NEO Team using OpenAI Agents SDK, integrating tools like Worklist Creation, Employee Lookups, Change Management, and dynamic Q&A with RAG pipelines over vector databases. Leveraged LLMs (Gemini, GPT, Claude, DALL·E) via FastAPI, achieving ~$2.2M annual cost savings.
Data & Infrastructure Automation: Built Model Context Protocol (MCP) servers for AI applications to query large-scale Cloud SQL datasets via Google ADK. Automated end-to-end BI-to-Native data pipelines using Pulumi (YAML), Cloud Run, BigQuery, and Cloud Scheduler, reducing manual setup by ~70%.
Operational Efficiency & AI Reliability: Designed prompts, guardrails, and tool chaining for AI agents to ensure safe, explainable behavior. Managed 10,000+ weekly production sessions and automated Google Chat space creation integrated with Google Sites, boosting operational efficiency by 80%.

OpenAI Agents SDKFastAPIGoogle ADKRAG pipelinesCloud SQLPulumi+4

Quantiphi

2 roles

Conversational AI Engineer

Promoted

Dec 2022 – Dec 2024 · 2 yrs · Mumbai, Maharashtra, India · On-site

Designed and built user-friendly chatbots leveraging Dialogflow, Vertex AI, CCAIP, and GCP, resulting in an 80% increase in user satisfaction and engagement.
Spearheaded a high-impact Generative AI project for a leading Canadian telecom firm, implementing cutting-edge features like chat transcript PDF downloads and secure authentication using Redis.
Experience developing intent and utterance-based logic for AI-driven bots, enhancing interaction flows and optimizing user experiences.
Leveraged Agent assist features such as smart reply, conversation summarization and knowledge assist for Contact center AI platform
Delivered AI-driven chat solutions by leveraging powerful LLMs such as Gemini 1.5 Pro and Gemini 1.5 Flash, while indexing client websites for enhanced chatbot responses.
Successfully led an on-site project for a major Indian private bank, designing workflows for fixed deposit creation and personal loan applications using REST APIs, Node.js, and Dialogflow CX.
Developed a chatbot for a mortgage valuation group, enabling precise property price retrieval based on location, while managing the project end-to-end to ensure smooth production deployment.
Implemented robust unit testing and debugging practices, utilizing Google Cloud services such as Cloud Run, App Engine, Kubernetes Engine, and Data Loss Prevention for secure and scalable deployments.
Worked with Large language models(Google playbooks) for a advance Gaming POC