Lavanya Pant

Software Engineering

New Delhi, India

Summary

With over 12 years of experience in developing and deploying AI-powered, enterprise-grade SaaS solutions, I specialize in building scalable
platforms that deliver measurable business value. My expertise spans the full lifecycle of AI/ML systems—from architecture and
implementation to optimization and production deployment.

Languages:

English

Favorite Python Packages:

fspec, langchain, pydruid

Experience

LAVANYA PANT

+91-9019633470 | pantlavanya@gmail.com | New Delhi, India | LinkedIn  

AI / ML & GenAI PRODUCT DEVELOPMENT | Technical Leadership | ENTERPRISE-GRADE SAAS SOLUTIONS    

 

PROFILE  SYNOPSIS

 

With over 12 years of experience in developing and deploying AI-powered, enterprise-grade SaaS solutions, I specialize in building scalable platforms that deliver measurable business value. My expertise spans the full lifecycle of AI/ML systems—from architecture and implementation to optimization and production deployment.

For the past 5+ years, I’ve led cross-functional engineering teams, driving innovation through technical leadership, strategic alignment, and platform intelligence. I’m known for translating complex requirements into scalable solutions, fostering collaboration across teams, and consistently delivering high-impact results.

COMPREHENSIVE SKILL SET

 

• System Architecture & Scalability
• AI/ML Product Development
• Cross-Functional-Geo Collaboration
• Release Management

• Data & ML Pipelines
• Vulnerability Assessment
• Data-Driven Strategy & KPI Monitoring
• Budget & Cost Optimization 

 

NOTE WORTHY HIGHLIGHTS 

 

• Orchestrated complex ML pipelines with 1000+ parallel tasks on Kubeflow, later migrated to Dagster on Kubernetes to improve modularity, observability, and resource efficiency.
• Implemented an Agentic AI Workflow on Databricks using Langchain/LangGraph, and integrated with the MCP server, enabling multi-step orchestration for scope creation, data analysis, hyperparameter tuning, and experiment triggering with a robust human-in-the-loop flow.
• Architected and led the development of a SOC2 & GDPR-compliant, AI-powered Supply Chain Prediction Platform with 99.9% uptime, ensuring enterprise-grade reliability and regulatory compliance.
• Directed on-site development and system integration at AusNet Services, managing complete software project lifecycle from planning to deployment.
• Mentored cross-functional teams, shaping technical direction, hiring strategy and adopting best practices for high-performance engineering cultures. 
• Open-source contributions to the pydruid and nemreader libraries, enhancing functionality and performance for broader data engineering and analytics use cases.

 

PROFESSIONAL EXPERIENCE 

 

Daybreak AI, Inc (Formerly Noodle AI) Bangalore                                                                                   

DISTINGUISHED ENGINEER | Oct. 2020 – Present 

 

Growth Path: Principal Engineer (Oct. 2020 – Dec. 2024) ➜ Distinguished Engineer (Jan. 2024 – Present) 

DISTINGUISHED ENGINEER  | Supply Chain Prediction & Decision Platform | Team Size: 16 

• Designed and delivered end-to-end ML workflows for data onboarding, data quality validation, classification, feature engineering, model training, and deployment, ensuring scalability and robustness.
• Developed production-grade Databricks pipelines using Delta Lake, DLT Pipelines, Jobs/Workflows, and Unity Catalog to implement a domain-oriented Supply Chain Data Mesh.
• Leveraged advanced time series forecasting using tools such as Nixtla, Autogluon, LightGBM, and foundation models like TimeGPT and Chronos, enhancing predictive accuracy.
• Served as a technical strategy advisor within the executive leadership team, Provided technical site leadership for the India entity and influencing decisions on platform modernization, cloud cost optimization, and engineering org design.

 

Key Achievements 

• Built a scalable agentic experimentation platform using Dagster, orchestrating 100–200 parallel ML experiments across a distributed compute environment, with support for concurrent multi-model execution.
• Engineered core AI platform capabilities that enabled $1.5M in first-year subscription revenue and led to the acquisition of two major enterprise clients.
• Reduced cloud infrastructure costs by over 40% across AWS and other cloud vendors through systematic optimization, observability tooling, and resource management strategies.

 

 Principal Engineer | Quality Flow | Team Size: 12 

• Developed an AI-driven defect detection system for manufacturing, processing up to 50K sensors’ data (20TB per tenant) with realtime failure recovery & checkpointing. 
• Designed end-to-end MLOps pipelines, automating feature selection, model training, and defect root cause analysis. 

 

Key Achievements 

• Enabled $4M in first-year subscription revenue and supported the acquisition of four enterprise clients by delivering high-impact, scalable AI solutions.
• Successfully deployed the product across five client environments to ensure operational reliability and business alignment.

DataGlen, Bangalore                  

SENIOR SOFTWARE ENGINEER | August. 2017 – September. 2020

  

• Developed scalable AI/ML-based SaaS platforms for solar, wind, and dam monitoring in renewable energy systems.
• Designed and implemented workflow-driven applications for data ingestion, device health tracking, and performance diagnostics.
• Collaborated with cross-functional teams and client stakeholders to ensure smooth system integration, compliance, and project delivery.
• Conducted thorough debugging, testing, and performance tuning to uphold application integrity and meet quality standards.

 

Key Achievements 

• Led the end-to-end migration from AWS to GCP, improving performance, reducing costs ($9k/month), and increasing platform reliability for critical energy data systems.
• Delivered a fully integrated electricity monitoring and automated billing system used across Australia’s national power distribution network.
• Ensured real-time visibility and fault detection across diverse energy sources, helping reduce downtime and optimize energy output for the client.

Bigbasket, Bangalore                                                                      

SENIOR SOFTWARE ENGINEER II | June. 2016 – August. 2017      

  

• Developed and maintained robust, scalable software solutions tailored for a high-traffic e-commerce platform, ensuring system reliability to meet the dynamic demands of door-to-door grocery delivery.
• Participated in design and architecture discussions, aligning technical implementations with business goals, user expectations, and industry best practices.
• Contributed to agile development practices, actively involved in sprint planning, daily stand-ups, and retrospectives, adapting to changing priorities and ensuring timely delivery.
• Provided technical guidance and mentorship within the team, promoting knowledge sharing, code quality, and collaborative problem-solving.

 

Key Achievements 

 

• Helped enhance BigBasket’s grocery delivery system, optimizing backend services for inventory management, order fulfillment, and last-mile logistics.
• Improved system scalability and fault tolerance, contributing to smoother user experiences during high-demand periods (e.g., promotion events, festivals).
• Played a critical role in ensuring seamless integration between order systems, delivery tracking, and payment services to support real-time operations.

 

Oboulo, Bangalore                                                        

SOFTWARE ENGINEER | March. 2015 – May. 2016

  

• Designed, developed, and maintained software solutions for Content Management and Language Translation platforms.
• Collaborated with cross-functional teams including Product, QA, and Design to deliver feature enhancements and resolve production issues.
• Participated in design reviews and contributed to system architecture discussions to support scalability and maintainability.

 

Key Achievements 

 

• Achieved 40% faster localization by automating translation flows through Pootle and Django integration.
• Scaled the translation platform to support 10+ languages and multi-org document collaboration.
• Improved translation quality and consistency through structured permission workflows and content verification tools.

Kapila Animation Studios Pvt Ltd, Bangalore                                                                                

ASSOCIATE SOFTWARE ENGINEER | December. 2012 – February. 2015

  

• Developed, tested, and deployed responsive websites and web applications using modern frameworks and best practices.
• Built cross-platform mobile applications, ensuring high performance, intuitive UI/UX, and seamless backend integration.

 

Key Achievements 

• Successfully delivered a fully content-driven website and web application, enabling dynamic content updates and enhancing user engagement without code-level changes.

 

EDUCATION 

MCA | Dr. Ambedkar Institute of Technology (Dr. AIT) Bangalore 2012 

 

EXTRAMURAL  ENGAGEMENTS  

• Traveled onsite to Poland for three weeks as part of a core development team, collaborating with 10+ team members from India and the US to support a major client engagement..
• Worked onsite in London, directly engaging with business stakeholders for requirement gathering, technical discussions, and providing hands-on go-live support. 
• Delivery 
• Managed travel logistics, visa processing, and coordinated with local vendors, while ensuring uninterrupted development and deployment activities
• Awarded multiple times for excellence in engineering, innovation, and team contribution.

 

TOOLS & TECHNOLOGIES

• AI & ML Engineering: Kubeflow | MLFlow | Airflow | Dagster | Nixtla | Autogluon | LightGBM | Anthropic Claude | Time Series Forecasting | Tensorflow | GPU | MCP 
• Data & Database Technologies: Databricks | Spark | Delta Lake | Unity Catalog  | DLT Hub | Data Connectors | ELT/ETL | DLT Pipelines | DBT | Data Mesh | OLAP | SQL | PostgreSQL | Snowflake | Cassandra | Apache Druid | Redis | Luzmo | Data Governance 
• DevOps & Infrastructure: Kubernetes | AWS EKS | Celery | Datadog | Prometheus | Azure Pipelines | Jenkins | Terraform | JIRA
• Programming Languages & Frameworks: Python | Pandas | Polars | PyTest |  Java | Balsamiq | Figma | Langchain | Langgraph
• Application Stack : Fast API | AWS API Gateway | AWS Lambda | AWS Cognito | Keycloak | SAML | AWS App Config / Secret 

 

AWARDS & RECOGNITIONS

1. F.O.C.U.S Awards (Daybreak AI) – Awards for demonstrating company values.
2. Peer Award (Daybreak AI) – For identifying Cycle GC issue [Memory Leak] and solving for it.