Lakshya Vaswani
As an Applied AI Engineer, I am driven by a deep curiosity and determination to achieve mastery in developing intelligent systems. My pragmatic and logical approach ensures accountability, allowing me to consistently deliver innovative solutions and push the boundaries of what's possible in the field.
Experience
Machine Learning Engineer / Applied AI Engineer
Genpact · Jul 2024 – Present
- Built, fine-tuned, and productionized end-to-end LLM pipelines using Azure Function Apps, establishing a CI/CD pipeline with automated monitoring for retraining and deployment, improving scalability and reducing response latency in inference workflows.
- Designed an asynchronous, event-driven architecture with Azure Event Grid for real-time PostgreSQL updates, increasing throughput by 70% and containerized services with Docker for consistent deployments.
- Integrated Datadog and Azure Application Insights for centralized monitoring, reducing incident detection time by 40%, managed Git/GitHub for version control, and strengthened security using Azure Key Vault and VNet.
- Built and productionized an end-to-end ML pipeline for a healthcare-focused project using Scikit-learn, PyTorch, and TensorFlow, covering data preprocessing, model training, and evaluation for clinical outcome prediction, achieving 85% accuracy; leveraged MLflow for tracking, model registry, and performance monitoring.
Data Scientist
Genpact · Jul 2024 – Present
Data Engineer
Genpact · Jan 2024 – Sep 2024
R&D, AI and ML Intern
Genpact · Jan 2024 – Jun 2024
- Developed an Agentic AI application using LangChain and LangGraph to orchestrate multi-step reasoning workflows for complex tasks.
- Designed and implemented a RAG (Retrieval-Augmented Generation) solution powered by vector databases and Azure AI Search, deployed via a Django web application to deliver document-grounded responses.
- Conducted research on FAISS vector database and LlamaIndex, benchmarking indexing methods to optimize retrieval performance and knowledge organization.
Amazon ML Summer School
Amazon · Sep 2023 – Nov 2023
Design Internship
ttbte · Aug 2022 – Nov 2022
- making marketing material for new startup or companies
Intern
Unlearners Tech · May 2022 – Jul 2022
- UI/UX Designer
Skills 0 proven through work
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Education
B.Tech, Computer Science and Engineering with specialization in Bioinformatics
Vellore Institute of Technology · 2020 — 2024
High School, Secondary Education (CBSE Curriculum)
Krishna Public School · 2018 — 2020
Projects
Contact details
Contact details
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What drives their work
The Architect
They design the systems that ensure reliability and scale.
Lakshya's superpower
You excel at designing and implementing robust, scalable AI/ML systems.
How Lakshya works
You are well-suited for roles that involve designing and overseeing the implementation of complex AI/ML systems, with a strong emphasis on operational robustness and scalability.
Ask about this candidate
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