RAVISHER DHILLON
@ravisherdhillon
Staff Machine Learning Engineer and technical leader building secure, scalable GenAI/LLM and ML platforms for measurable outcomes.
United StatesWhat I'm looking for
I’m a hands-on Staff Engineer and technical leader with over 15 years of experience designing and owning large-scale systems. I operate at the intersection of Engineering, Strategy and Execution to define and deliver AI/ML use cases—translating OKRs into solutions with measurable business outcomes.
I’ve built secure, scalable, cost-efficient machine learning systems and distributed data pipelines, including an end-to-end Retrieval Augmented Generation (RAG) pipeline using pgVector and OpenAI embeddings for natural language querying across 100K+ dispatch records. I’ve integrated AWS Bedrock to deliver production-grade GenAI capabilities and provisioned backend infrastructure with Terraform and Kubernetes for scalable deployments.
In prior roles, I owned ML platforms for forecasting and real-time bidding, improving forecast accuracy from 55% to 85% and increasing customer engagement by 25%. I’ve also led migrations from Hadoop/MapReduce to Spark and Airflow, strengthened training/serving monitoring with Prometheus and Grafana, and mentored a team of 5 ML engineers and modeling scientists through architecture ownership, code reviews, and career development planning.
Experience
Work history, roles, and key accomplishments
Co-Founder & ML Lead
FreightSmart
Sep 2024 - Present (1 year 8 months)
Built LangChain-based AI agents with LLMs to automate load creation, optimize driver assignment, and deliver real-time logistics insights. Implemented a production RAG pipeline using pgVector and OpenAI embeddings for natural-language querying across 100K+ dispatch records and deployed secure GenAI via AWS Bedrock.
Owned the ML platform for forecasting and real-time bidding models for an adtech DSP, improving forecast accuracy from 55% to 85% and increasing customer engagement by 25%. Migrated ML pipelines from Hadoop/MapReduce to Spark and Airflow using Aerospike for feature engineering, and provisioned Kubernetes infrastructure with Terraform while improving model training/serving observability with Promet
Architected and built an enterprise AI SDK in Java and Python enabling seamless integration with OCI AI services. Implemented rule-based and NER search using OCI NLP services and owned the long-term technical vision and roadmap for cross-organization AI integration.
Built an NLP-powered AskHR chatbot using Python, scikit-learn, and NLTK tokenization and POS tagging. Developed a PySpark analytics app to analyze MFA adoption trends, processing 1M+ events, and designed a scalable ScotiaWorld enterprise application supporting 100K+ employees.
Led migration of campaign reporting monolithic applications to Spring Boot and Eureka microservices architecture. Built distributed data pipelines processing terabytes of user event and cookie data with Hadoop (HDFS/YARN), improved observability with Prometheus, Grafana, and ELK, and enhanced system throughput/latency using Java async and non-blocking I/O.
Lead Software Engineer
Sentient AI
Jun 2014 - Aug 2016 (2 years 2 months)
Designed a scalable hedge-fund trading dashboard using Spring Boot, Java, and React. Performed backtesting with cross-validation to evaluate strategy generalization and used NumPy/Pandas for data analysis and reconciliation for C-suite leadership.
Senior Software Engineer
Moody's
Mar 2008 - May 2014 (6 years 2 months)
Designed and integrated RESTful APIs for the cloud-based Risk Analytical Platform using Spring Framework and Java serving 100+ insurance clients. Partnered with risk analysts and modelers to implement predictive catastrophic loss models and added loss calculation and MongoDB support for RMS analytics.
Education
Degrees, certifications, and relevant coursework
San Jose State University
Master’s in Software Engineering, Software Engineering
Earned a Master’s in Software Engineering from San Jose State University, graduating in December 2007.
Punjab Technical University
Bachelor’s in Computer Science & Engineering, Computer Science & Engineering
2004 -
Earned a Bachelor’s in Computer Science & Engineering, starting in August 2004.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
Interested in hiring RAVISHER?
You can contact RAVISHER and 90k+ other talented remote workers on Himalayas.
Message RAVISHERFind your dream job
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
