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Yugandhar Nanda

Founder

Bengaluru, Karnataka, India12 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led initiatives to democratize technology for agriculture.
  • Improved revenue models at Google with ML algorithms.
  • Mentored 60 engineers in software development and ML.
Stackforce AI infers this person is a Backend-focused Machine Learning Engineer with extensive experience in AgriTech and Cloud Architecture.

Contact

Skills

Core Skills

Machine LearningGisCloud ArchitectureBack-end Development

Other Skills

Algorithm DesignAlgorithmsAmazon Elastic MapReduce (EMR)Amazon S3Amazon Web Services (AWS)Apache KafkaApache SparkArtificial Intelligence (AI)Back-End Web DevelopmentBig DataCascading Style Sheets (CSS)CassandraComputer ScienceConvolutional Neural Networks (CNN)Customer Service

About

Building next-generation revolutionary tech that goes beyond programming for building and flies beyond the cloud to run. As a customer, you build products in minutes to hours(instead of weeks and months) with zero developers and zero devops administrators. I absolutely love engineering. My love for engineering comes from the impact that it can create on the world at a scale of millions. As it democratized communication and payments so far, I expect the engineering to reach billions of people by democratizing the with human-tasks. These days I am part of an initiative to build a ML, GIS, Maps platform that can mitigate the effect of climate change at a scale that has never been intended before. The work build intelligence around agriculture lands to identify boundaries, crop names, yields, crop burning, bailing, tilling, dry seeding activities. We doing at scale of multi 100Millions, with visualization and update capabilities on Maps. At Google, I contributed to the Long term revenue with ranking of search advertisements(search quality). Search advertisements is about a $100B revenue and has a complex stack. I worked on the initiative to improve keyword filtering(to avoid queries to run through expensive ads stack), click through (CTR) models as well as auction and bidding algorithms. These models leveraged tensorflow, tensor processing unit(TPU) and ran at a scale of billions of queries per day. I have an immense understanding of ride hailing space. I was part of the early team at Taxi for sure and then at Ola. These Uber for India like startups provided me the opportunity to understand marketplace business models. I worked on improving supply and demand by helping in building platforms such as Incentive platform and signal platform. These platforms that enabled serving ML and heuristic models allowed demand and supply shaping to optimize for growth and revenue. These models and platform reduced manual dependency by a wide margin and helped in improving overall experience for drivers and customers. The automated system saved around $100M/year. Worked on pricing/allocation to improve the GMV by >100%, and improved the premium category sales by 70%. I built the pickup and drop recommendations to improve the customer experience with top-5 accuracy of >95%. I believe in excellence and I have been mentoring young engineers to help them achieve their goals. I have mentored 60 engineers in software development and ML. Some work in NLP in pending patent, and few are under consideration. I'm also in advisor role at doiima.network.

Experience

12 yrs 5 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 6 mos
Current Experience

Stellarsky.ai

Founder & CEO

Dec 2023Present · 2 yrs 6 mos · On-site

Nurture.farm

3 roles

Architect (Head of Engineering)

Jul 2023Dec 2023 · 5 mos

Amazon Web Services (AWS)JavaBack-End Web DevelopmentBig DataRecurrent Neural Networks (RNN)Keras+14

Senior Principal Engineer

Promoted

Apr 2022Jul 2023 · 1 yr 3 mos

  • 1) Head of ML, GIS, Maps, Platform, booking teams are built from scratch. Built roadmaps, strategy, architecting, and managing people for ML, GIS, Maps.
  • 2) Maps platform to support 100K RPM with <5ms for 99% reqs, built automatic farm plot detection using instance segmentation in CV.
  • 3) Built crop maps to detect 27 types of crops and corresponding yields using satellite maps, geo image sensing (GIS), Deep learning (Transformer based).
  • 4) Written new algorithm for identifying the area covered by machine with IoT controllers, works even if it's tampered by operators on the ground.
  • 5) Architected the AWS cloud, Booking system, Devops, Data platforms.
  • 6) Built next gen analytical + realtime data platform to support sub second latencies and sub min data freshness, used Kafka, Flink, Pinot.
  • 7) With GIS, ML - identified burning, aeration, tillage, dry seeding in the agriculture fields, helped in sustainability programs AWD, DSR, CRM.
  • 8) Leading all sustain tech to make carbon credits from agriculture practices. Working with VM0042 modelling to get the carbon credits.
Amazon Web Services (AWS)Back-End Web DevelopmentBig DataRecurrent Neural Networks (RNN)KerasApache Kafka+13

Principal Engineer

Apr 2020Mar 2022 · 1 yr 11 mos

  • Worked on AWS architecture + Security, K8s. Setup tech standards for not only improving the network and CPU performance, also improved the developer productivity to make the whole organisation agile.
  • Currently leading 14 member team of GIS + Machine learning + Software engineers to improve sustainability in agriculture while solving the core problems in agri ecosystem.
Back-End Web DevelopmentBig DataMachine Learning AlgorithmsAlgorithm DesignDeep Neural Networks (DNN)Machine Learning

Dojima network

Technical Advisor

Dec 2021Present · 4 yrs 6 mos · Bengaluru, Karnataka, India · Remote

Google

Software Engineer

May 2019Mar 2020 · 10 mos

Amazon Web Services (AWS)Back-End Web DevelopmentBig DataRecurrent Neural Networks (RNN)KerasApache Kafka+13

Ola (ani technologies pvt. ltd)

3 roles

Principal Engineer

Apr 2019May 2019 · 1 mo

  • Worked on core challenging problems for transportation
Back-End Web DevelopmentBig DataMachine Learning AlgorithmsAlgorithm DesignDeep Neural Networks (DNN)Machine Learning

SDE III

Apr 2017Mar 2019 · 1 yr 11 mos

  • 1. Designed and lead development of AI signals platform, with service layer having ~5M reads and writes with 99% < 8ms
  • 2. Built location suggestions(pickup suggestions, drop suggestions) service using machine learning
  • 3. Built location search service, which can do semantic search on locations.
  • 4. Architected and lead development of peak pricing system using Tensorflow, Flink and Spark, with CPU level optimisations lead to 250µs for calculation of peak for one unit.
  • 5. Worked on category mix solution which improves GMV and utilisation of cabs.
  • 6. Developed a AI based multi-lingual intent system which will detect intents from multi-lingual speech, which bagged 2nd runner up in Ola Hackathon-2018.
  • 7. Working on other core problems at OLA.
Amazon Web Services (AWS)Back-End Web DevelopmentBig DataRecurrent Neural Networks (RNN)KerasApache Kafka+10

Senior Software Engineer

Dec 2014Mar 2017 · 2 yrs 3 mos

  • > Built incentive calculator automation, which calculates the incentives given to the driver in OLA using Spark. worked on optimising response time by 12X and throughput by >11X.
  • > Designed, architected and coded for "Incentive tab", which communicates complicated schemes to driver in simple format.
  • > Improved core TFS backend scalability by 10X and improved response by 5X.
  • > Built new driver search engine which is 5X scalable(could only test 5X) and response time is improved by 8X.
  • > Worked on fare changes in the system like service tax, trip time fare, minimum fare and surge fare and also redesigned fare system in the backend.
  • > Lead the realtime driver migration as well as booking sync between TFS and OLA.
Amazon Web Services (AWS)Back-End Web DevelopmentApache KafkaAmazon S3Algorithm DesignDistributed Systems+1

Yahoo

Software Engineer

Jul 2013Nov 2014 · 1 yr 4 mos

  • Yahoo! Mail (Calendar)
Back-End Web DevelopmentAlgorithm DesignBack-End Development

Education

National Institute of Technology Warangal

Bachelor's degree — Computer Science

Jan 2009Jan 2013

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