Arpit Rathi

DevOps Engineer

Ajmer, Rajasthan, India3 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Pioneered three innovative product ideas with $50M revenue potential.
  • Filed three patents for novel algorithms in AIOps.
  • Achieved 90% AUC score in professional competencies extraction.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Fintech and IT Operations.

Contact

Skills

Core Skills

Data EngineeringProduct InnovationData ScienceMachine LearningAiops

Other Skills

AlgorithmsArtificial IntelligenceNatural Language ProcessingJavaMathematical ModelingRetrieval-Augmented Generation (RAG)Generative AILarge Language Models (LLM)Deep LearningPythonSoftware DevelopmentSystems DesignDistributed SystemsPySparkSQL

About

I'm an AI/ML professional with ~7 years of experience specializing in driving software product development with a Machine Learning focus. My mission is to design and deliver impactful solutions that impact millions of lives while ensuring scalability and profitability for organizations. I thrive in environments driven by vision, transparency, and a culture of rewarding leadership. With an entrepreneurial mindset and a proactive approach, I require minimal management, excel at working independently, and take pride in upholding the highest standards of integrity, accountability, and innovation. A strong believer in continuous learning, I embrace challenges and enjoy taking the initiative to drive results. My preferred communication style is direct and written, ensuring clarity and efficiency in collaboration. As a committed team player, I consistently deliver outcomes that align with organizational goals and create meaningful impact. šŸŽÆNoteworthy Achievements: šŸ’¼Professional - A couple of failed startup attempts—each a step closer to a successful one in the future - Pioneered three innovative product ideas at Oliver Wyman DMU, with a revenue potential exceeding $50M - Filed three patents encompassing novel algorithms, methodologies, and systems for AIOps challenges at HEAL Software - Designed a foundational methodology for a customer service QA automation solution, defining its success šŸŽ“Scholastic - Contributed to research on simulation of the epitaxial growth process of III-Nitride semiconductors during my master’s thesis - Secured a Pre-Placement Offer (PPO) from Vodafone for exceptional performance during an internship - Improved my IIT-JEE rank by 24x—from AIR 2938 in 2011 to AIR 122 in 2012 šŸ“Bio: Born and raised in Ajmer, Rajasthan, I come from a spiritually inclined nuclear family with a strong emphasis on education—our family proudly includes a CA, MBA, and an IITian. A lifelong fascination with mathematics drives my obsession with abstract thinking, often leading me to wonder whether everything in the existence can ultimately be described through mathematical or statistical models. I also enjoy exploring the philosophical works of some of the great thinkers and sometimes share my own ā€˜big little ideas’ on the Threads app. Apart from that, I enjoy traveling in nature, sketching, and celebrating my love for cricket. I’m also a supporter of mental health awareness, human rights, and equal opportunities for all, always holding truth and justice in high regard. šŸ”—arpitrathi-iitb | šŸ“˜arpit.rathi.737 | šŸ†‡ThinkingPanda07 | šŸ“øar.0b111 | 🧵ar.0b111

Experience

3 yrs
Total Experience
1 yr
Average Tenure
--
Current Experience

Oliver wyman

Lead Data Engineer

Jun 2022 – Mar 2023 Ā· 9 mos Ā· Gurugram, Haryana, India Ā· Hybrid

  • EIR, OW - Data Monetization Unit (product unit)
  • ā–« Conceived 3 new product ideas including usage-based insurance, credit portfolio monitoring, and investment risk-appetite
  • ā–« Conducted product development research, crafted persuasive pitch decks, and secured stakeholder buy-in
  • ā–« Developed a PoC for driver risk scores by detecting risky events from raw telematics data, and calculating lift ratios for claim frequency using processed telematics and credit history datasets
  • ā–« Worked on rate vs mix attribution analysis using Experian credit database, model validation toolkit, and development of climate credit risk modeling projects
  • Impact:
  • $50M revenue projection on pitched products
  • 7x lift ratio in claim frequency prediction for UBI
Data EngineeringData ScienceProduct Innovation

Heal software inc.

Manager - Machine Learning

Apr 2020 – Apr 2022 Ā· 2 yrs Ā· Bangalore Urban, Karnataka, India Ā· Remote

  • AIOps (Previously: Appnomic Systems)
  • ā–« Worked on various IT operations automation problems including anomaly detection, capacity forecasting, alert correlation, root-cause analysis, batch-job monitoring, preventive action recommendation
  • ā–« Designed and implemented various novel algorithms for online outlier detection, efficient extrapolation of regression models, causal dependency graph mining, probabilistic forecasting algorithms
  • ā–« Reduced technical debt by refactoring the core ML module to be scikit-learn compatible and added several state-of-the-art ML algorithms along with a model-agnostic data-preprocessing pipeline for workflow optimization
  • ā–« Filed 3 patent applications on an end-to-end proactive healing system, an application performance and customer experience scoring system, and an accelerated anomaly detection system for new cloud environments
  • Impact:
  • 70% reduction in alert volumes
  • 50% improvement in capacity forecasting
  • 60% improvement in anomaly detection
  • 90% improvement in latency and memory utilization
AlgorithmsArtificial IntelligenceMachine LearningAIOps

Emtropy labs

Machine Learning Engineer

Jul 2019 – Mar 2020 Ā· 8 mos Ā· Bengaluru, Karnataka Ā· Hybrid

  • EXtech/CXtech (acquired by Support Logic)
  • ā–« Designed a novel method for customer service QA automation involving extraction of customer intent and emotion along with the corresponding response behaviors of CSR from chat data and implemented its PoC
  • ā–« Implemented transformer-based model along with XAI explain-ability model for multi-label classification and aspect-based sentiment analysis of professional competencies from peer-to-peer feedback data
  • Impact:
  • 90% AUC score in professional competencies extraction and classification
Artificial IntelligenceData ScienceMachine Learning

Next education india pvt ltd

Research And Development Engineer

Jul 2017 – Nov 2017 Ā· 4 mos Ā· Hyderabad, Telangana

  • EdTech (Machine Learning Team)
  • ā–« Designed a method for developing an automated grammatical error correction tool for K-12 students and implemented PoC for preposition & determiner prediction using contextual feature extraction and classification
  • Impact:
  • 80% accuracy in preposition/determine prediction task
Data ScienceJava

Vodafone india

Technical Analyst

May 2015 – Jul 2015 Ā· 2 mos Ā· Mumbai, Maharashtra, India

  • Secured Pre-Placement Offer (PPO) for exceptional performance during the internship
Data ScienceMathematical Modeling

Education

Indian Institute of Technology, Bombay

Dual Degree (B.Tech+M.Tech) — Electrical Engineering ; Microelectronics

Jan 2012 – Jan 2017

Boğaziçi University

Exchange Scholar — Electrical and Electronics Engineering

Jan 2015 – Jan 2016

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