May 2024 – Apr 2025 · 11 mos · Bengaluru, Karnataka, India · Remote

• As an architect, leading new product skew in AIOps, Co-pilots, with target to reduce MTTR, MTTD for incidents/ SEVs/Outages for Software companies - a new business initiative focussing on 35B $TAM
• Bootstrapped team comprising BE, FE, and MLEs working on MVP for copilots, an intelligent LLM-based assistant, OpsGuide, helping companies with quicker incident resolution setting up Atlassian as differentiator in AIOps space. Supporting team transiently as a TLM. This assistant is GA and featured in Founder's Keynote in Atlassian yearly global event, Team 24
• Setting direction and business strategy working with product counterparts & executive stakeholders
• Additionally, leading initiatives around foundational infrastructure & AI capabilities for AIOps to put Atlassian in Gartner's AI Magic quadrant

Aug 2021 – Sep 2024 · 3 yrs 1 mo · Greater London, England, United Kingdom

• Building commerce ads ranking & experimentation platform to accelerate adoption of Commerce Ads to unlock 20B+ potential by 2026
• 1. Working on some of the hard problems in Ads space like signal loss, improving ads ranking and relevance, destination automation, bid optimisation
• 2. Owning end to end roadmaps, deliverables and ensure high engineering quality of products
• 3. XFN collaboration, Mentorship and guidance to the team

Feb 2020 – Aug 2021 · 1 yr 6 mos

• Lead development of several platforms which accelerated product development and developer experience across marketplace and Grab
• Architected Pricing platform which allowed reduced time to market ML based versatile pricing strategies for multiple domains & countries while ensuring quality and uptime for tier-0 fare systems.
• Lead MVP of ML platform in collaboration with ML engineers which drove adoption of applied ML (Deep Learning, Multi-Arm Bandit, Sequence Models, Time Series Forecasting) to solve core business problems like surge, demand forecasting and food-pricing.
• ML Platform includes real-time feature bank (large scale data ingestion & structured retrieval), model serving framework, offline model training & less resource intensive hyper-parameters search
• Build high performance team and culture via influence through improving hiring practices, continuous mentorship, tech-talks & blogs.
• Technologies used - Spark, Flink, Kubernetes, Kafka, TensorFlow, Kubeflow, Scikit-learn, AWS
• Languages used - Scala, Go, Python

Mar 2018 – Aug 2021 · 3 yrs 5 mos

• Architect to several complex/distributed micro-services for ml/data-driven critical products and services responsible for dynamic pricing, shaping the marketplace in SEA that is reliable, scalable, have proper monitoring and instrumentation and designed to be fault tolerant to ensure seamless user experience on Grab platform. Helped marketplace org grow by hiring & mentor engineers and hold high performance & inclusive culture .
• Build high performance team & culture and deliver impact via them on core business metrics like GMV and profit per ride. Some of the large scale my team delivered include projects like Demand Heatmap, Forecasting Platform, 5x Scaling of Pricing Platform(post Uber acquisition in SEA)
• Responsibilities include working with cross functional team to draft roadmap, translate product requirements into engineering scope, work with different engineering teams to come up with scalable engineering design and ensure timely delivery of highest quality
• Mentor and grow budding engineers into leaders
• Evangelise best engineering practices via talks, design discussion and code reviews
• Technologies Used - Golang, AWS Stack(ElasticCache, RDS, EC2, EMR), Kafka, GRPC, structured streaming(Scala and Spark), Real-time Stream Processing(Flink on Kubernetes)

Dec 2016 – Aug 2021 · 4 yrs 8 mos

• As Software Engineer in Dynamic Pricing team, responsibilities include implement scalable, low latency, data-driven algorithms and features which requires an understanding of complex business' objectives/ use cases, architecting large scale distributed systems to determine the pricing of different services working in coordination with data Science, product and other cross-functional teams. Also, ensure uptime SLA's and quality of these production systems.
• Technologies Used - Golang, AWS Stack(Elastic-Cache, RDS, EC2),
• Monitoring- Datadog, Scalyr, ELK
• We are hiring, send your resumes to agarwalchand23@gmail.com or apply to link below
• https://jobs.lever.co/grab?lever-via=defHdSq1ax

Jul 2015 – Dec 2016 · 1 yr 5 mos · Singapore

• Works Applications is a Japan(Tokyo) based Packaged ERP software provider with the leading share in the Japanese ERP market.
• Company is planning to expand in west with release of AI integrated cloud based ERP system, High Usability Enterprise (HUE).
• As Software Developer(Full Stack) on Communication Tools Team, HUE–Talk
• Doing full-stack app development for new features as well as supporting and improving existing
• features for Chat team.
• Planning and designing new features for product by researching on User’s requirements and usage scenarios
• Analysis and improvement of speed ,performance and usability at end of each development cycle

Mar 2014 – May 2014 · 2 mos