Raghav Mirchandani

AI Researcher

United States9 yrs 2 mos experience
Highly StableAI Enabled

Key Highlights

  • Led high-impact ML projects at Amazon.
  • Developed innovative GenAI solutions reducing diagnosis time by 60%.
  • Achieved multi-million dollar revenue impact through KPI metric lifts.
Stackforce AI infers this person is a Machine Learning expert in E-commerce and Fintech industries.

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Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Fraud PreventionNatural Language Processing (nlp)Data ScienceQuantitative Finance

Other Skills

Amazon Web Services (AWS)Statistical ModelingGraph AnalysisQuantitative ResearchGenerative AIRecommender SystemsApplied MathematicsDiscrete MathematicsOperating SystemsAlgorithmic TradingAmazon EC2Continuous Integration and Continuous Delivery (CI/CD)DockerAmazon S3Python

Experience

Amazon

3 roles

Lead Applied Scientist

Promoted

Jan 2022Present · 4 yrs 2 mos

  • I turn ambiguous business problems in payments, risk, and retail e-commerce domains into shipped ML / Gen AI systems.
  • Built GenAI Agents / RAG assistants that transform tribal SOPs into searchable workflows and reduced incident diagnosis time ~60%. Shipped recommendation models that lifted CTR ~ 3% while balancing diversity and inventory. Deployed real-time defenses against card enumeration and platform abuse using graph + anomaly detection with 97%+ precision. Behavior-based credit scoring for thin-file customers driving 110K+ new sign-ups in 3 weeks while maintaining default rate guardrails. Improved address understanding with NLP to reduce delivery failures by ~7 - 10% across different global regions (emerging marketplaces IN,LATAM,MENA).
  • Converting ML signal based treatment levers into measurable KPI metric lifts validated through A/B testing, delivering multi-million dollar impact across revenue and profitability. Mentoring scientists to deliver cutting edge applied research and take work from prototype to production.
  • Functioning as Senior Machine Learning Engineer, AI engineer, and Research Data Scientist leading and driving high impact, cross functional projects and delivering production scale ML systems. Publishing internal research papers and reviewing for Amazon ML Conference; filed patent for automated root cause triaging; recognized with Amazon Innovation and Cowboy Awards for high-impact contributions.
Artificial Intelligence (AI)Amazon Web Services (AWS)Machine Learning

Applied Scientist

Jan 2019Jan 2022 · 3 yrs

Research Scientist

Jan 2017Jan 2019 · 2 yrs

Neuraltechsoft

Quantitative Researcher

Jan 2016Jan 2016 · 0 mo

  • Algorithmic trading, quant ML research, backtesting and automating multi-strangle option trading strategies earning theta decay while maintaining delta neutrality and lower vega risk. Trained classification models on rolling window volatility, VIX, and momentum to flag high-risk regimes and auto-tune hedging and position sizing. Cut worst-case loss risk ~25% and delivered 15 - 20% annualized returns in backtests; received leadership approval for live trading.
Quantitative FinanceQuantitative Research

Education

Indian Institute of Technology, Delhi

Integrated M. Tech. — Mathematics and Computing

Jan 2012Jan 2017

St. Joseph's Academy, Dehradun

ISC & ICSE

Jan 2012Present

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