Aman Chopra

Apprentice

South Delhi, Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI agents improving user retention by 98%.
Created end-to-end RAG systems for 1M+ users.
Public speaker with impactful presentations.

Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on SaaS and data-driven solutions.

Contact

Skills

Core Skills

Machine LearningData AnalysisAi AgentsPublic SpeakingProduct ManagementRetrieval-augmented Generation (rag)Data ScienceQuantitative FinanceCustomer Relationship Management (crm)

Other Skills

AlgorithmsArtificial Intelligence (AI)C++Comparative AnalysisCross-functional Team LeadershipCurve FittingDeep LearningExtemporaneous SpeakingHuman Machine InterfaceImpromptu SpeakingKnowledge GraphsLangChainLeadershipLinear RegressionMLOps

About

Interests (in no particular order) LLMs, Coffee, AI Safety, Finance, Statistics, Running

Experience

Matsuo-iwasawa lab u-tokyo

Apprentice

Sep 2025 – Sep 2025 · 0 mo · Tokyo, Japan · Remote

GCI program is a research initiative by UTokyo's Yutaka Matsuo Laboratory focusing on ML for Consumer intelligence

Machine LearningData AnalysisStatistics

Wishlink

AI/ML Engineering Intern

May 2025 – Jun 2025 · 1 mo · India · On-site

Developed an AI agent to autonomously place orders on behalf of users, leveraging MCP clients and BrowserUse along with LangChain, n8n for the multi-agent system backbone.
Integrated Pushbullet and built custom functions to securely handle user data and sensitive information (including credit card details).
Customized reranking and callback functions to optimize model outputs.
Prevented redirection for 10% of users, leading to a 98% improvement in retention within that cohort.

Machine LearningAI AgentsLangChainStatistical ModelingStatistical SamplingRetrieval-Augmented Generation (RAG)

Tedxiitdelhi

Impromptu Speaker

May 2025 – May 2025 · 0 mo · India · On-site

Delivered an off-the-cuff line during a TEDx intermission that got the loudest cheer of the day

Public SpeakingExtemporaneous Speaking

Clinikally (yc s22)

Product Design and Engineering Intern

Mar 2025 – May 2025 · 2 mos · India

Developed an end-to-end RAG system for product recommendations and customer queries from ideation to final deployment for 1M+ weekly users.
Partnered with product and development teams to define MVP scope and prioritize features based on user needs.
Used Multi Agentic approach for hybrid query routing logic to classify and handle both general queries and product-specific queries using custom keyword and structure-based heuristic.
Created video tutorials and flowcharts to document the development process for future maintenance needs.

Retrieval-Augmented Generation (RAG)Product ManagementMLOpsProduct IdeationPineconeMachine Learning