My Work

Projects

Intelligent First Response

AI-generated first responses and customer handling notes for support tickets

• Problem: Engineers spent time on the first read of every ticket, decoding the error and hunting SharePoint for customer handling instructions.

• Action: Pitched surfacing handling notes in Zendesk, defined 18 error categories and the AI response format, and worked with engineering on the AWS architecture.

• Result: Live since March 2026, with ~150K tickets processed, a 97.1% response rate, and an 89.7% engineer acceptance rate.

Stack: Python, AWS (API Gateway, Lambda, DynamoDB, S3, SQS, CloudWatch, Bedrock, EventBridge, CodePipeline, CodeBuild, ECS Fargate), Zendesk, LangChain, Blue-Green deployment, Snyk, HMAC-SHA256

Past Ticket Analysis

RAG over resolved tickets, so analysis reflects how engineers actually solved similar issues

• Problem: Generic AI first responses didn't reflect how engineers had actually solved similar tickets before.

• Action: Analyzed 22K+ resolved tickets into reusable "signatures" and built a RAG-powered Zendesk side-app with cited similar tickets and a chat interface.

• Result: Live since July 2026, with ~58K tickets processed, a 98.6% response rate, and an 80.6% acceptance rate, and signatures consolidated from 503 to 374 to push that higher.

Stack: Python, Claude Sonnet/Haiku 4.5, Titan Text Embeddings v2, OpenSearch (Vector Store), AWS serverless stack, Zendesk App Framework, LangChain, FastAPI

Ticket Merge/Link Agent

Automating duplicate ticket merging to cut wasted compute and engineer effort

• Problem: About 48% of tickets are manually merged because they share a root cause, wasting engineer effort and LLM tokens.

• Action: Spent 3 months working with engineers across 207 customers to write a 7-revision SOP, then designed an agent that merges only on an exact "golden match".

• Result: Targeting automation of 80% of manual merges, currently in testing.

Stack: Python, AWS (API Gateway, Lambda, DynamoDB, S3, SQS, CloudWatch, Bedrock, EventBridge, CodePipeline, CodeBuild, ECS Fargate), Zendesk, LangChain, Blue-Green deployment

Auto-Resolution of Defined Ticket Types

Exploring autonomous resolution for well-understood ticket categories

• Problem: Some well-understood ticket types still need engineer time even though the fix is predictable.

• Action: Helping explore which ticket types could safely be resolved without engineer intervention, building on the trust earned by Intelligent First Response.

• Result: Still in the discussion phase with no timeline, so I'd label it "Exploring" on the site.

Experience and Education

Qualification

Work Experience

Senior Engineer, B2B Supply Chain

Cleo October 2024 - Present AI Product Ownership Intelligent First Response (LLM Ticket Analysis): Defined the 16-category error classification, user stories, and acceptance criteria with AI Team. Support Engineers review every AI response before it goes to customers. 150,000+ tickets, 97.1% coverage, 89.7% engineer acceptance, 5–7 min saved per ticket Past Ticket Analysis (RAG Synthesis): Defined the workflow SOP and acceptance criteria. Consolidated 60,000+ historical tickets into 374 resolution patterns. Delivered a Zendesk-embedded assistant with citations 98.6% response coverage, 80.6% engineer acceptance Ticket Merge/Link Agent: Ran 3-month discovery across 207 accounts and 7 SOP revisions to define precision-first merge criteria. 38.4% cut in duplicate-analysis volume while guarding against false merges. Client and Platform Ownership Served as primary technical point of contact for enterprise clients (including FedEx, and Combe), owning configuration, deployment, and maintenance of cloud-based B2B integration solutions. Translated client business requirements and operational constraints into user stories, tailored EDI workflows, and business process configurations, ensuring compliance with client-specific and industry standards. Owned requirements gathering and configuration across multiple communication protocols (AS2, SFTP, VAN, APIs), balancing client needs against platform capability and implementation effort. Conducted root cause analysis and drive resolution of production issues, managing client expectations and communicating risk, progress, and trade-offs throughout.

Integration Specialist, B2B Supply Chain (SPS Commerce)

Bristlecone October 2020 - October 2024 Worked with SPS Commerce as client-facing consultant, owning end-to-end delivery, from initial account setup to go-live and post-launch (L1) support for multiple retail, supplier, and third-party logistics clients. Owned and prioritized a multi-client delivery backlog, leading sprint planning and coordinating cross-functional teams (engineering, QA, migration) to ensure on-time delivery across all migrated integration channels. Integrated solutions across diverse client ERP systems (NetSuite, QuickBooks, MAPADOC, SAP), building a platform to adapt varied client technical environments.

Education

College

Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune (Maharashtra) Bachelor of Technology in Electrical Engineering 2016 - 2020 C.G.P.A. :- 8.76/10 Positions of Responsibility

Joint Secretary, Association of Students of Electrical Engineering (ASEE) [2018-19]

• Overall Head of the Association: Organized the Inter-College Engineering Project Exhibition, Reboundz 2018 (inter-college basketball tournament), and Bharatiyam 2019 (inter-college cultural fest). Earlier, as Marketing Associate, raised funds for Reboundz 2017.

Marketing Manager, Entrepreneurship Development Cell (E-Cell) [2016-18]

• Marketing Manager (2018): Raised funds with the team for e-Summit 2018, which invited nominations from colleges and startup founders for talks.

• Senior Associate (2017-18): Helped organize Start-up Conclave 2017, a job fair connecting Pune startup heads and students for internships and full-time roles. I secured a Digital Marketing internship through this event.

• Junior Associate (2016-17): Helped organize e-Summit 2016 and the Social Entrepreneurship Challenge 2017, a hackathon on solutions to social problems. I presented a solution giving scrap dealers a place in the refurbished-products market.

School

Scholars' Den School, Khandwa (Madhya Pradesh)

[Madhya Pradesh Board of Secondary Education, Madhya Pradesh]

Intermediate - 12th 2015 - 2016 Score :- 83.40%
Scholars' Den School, Khandwa (Madhya Pradesh)

[Madhya Pradesh Board of Secondary Education, Madhya Pradesh]

Matriculation - 10th 2013 - 2014 Score :- 85.17%
What I Know

Skill Set

AI Product

LLM-based Product Design (Claude Sonnet/Haiku)
RAG Architecture
Model Evaluation and Acceptance-rate Tracking (Precision/Recall Trade-offs)
Prompt and Guardrail Design

Product Management

Roadmap Definition
User Stories and Acceptance Criteria
Backlog Prioritization and Refinement
MVP Scoping

Technical

Python
AWS (Bedrock, Lambda, DynamoDB, S3, SQS)
OpenSearch
LangChain

Integration & APIs

B2B Integration (Cleo Integration Cloud, SPS Commerce Network, Orderful, and Oracle Integration Cloud)
EDI ANSI X12 and EDIFACT
AS2/SFTP/VAN/API Connectivity
Netsuite ERP and Microsoft D365
For More Details

Contact

LinkedIn

Shreyas Paliwal

Phone

+91-9730644518

E-mail

shreyaspaliwal21@gmail.com