Prateek Agarwal

CTO

Gurugram, Haryana, India17 yrs 6 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in Big Data and Machine Learning solutions.
  • Led teams in developing innovative AI-driven platforms.
  • Proven track record in optimizing complex logistics operations.
Stackforce AI infers this person is a Data Science and Engineering expert specializing in AI-driven solutions for logistics and e-commerce.

Contact

Skills

Core Skills

Software DevelopmentAi IntegrationDevopsData EngineeringAi SolutionsSaas DevelopmentData ScienceOptimization AlgorithmsMachine LearningData AnalyticsUser PersonalizationBig Data SolutionsSoftware Engineering

Other Skills

A/B ExperimentationAI-powered SaaS platformAI-powered chatbotAlgorithm DesignAlgorithmsAndroid DevelopmentApache SparkBGPBig Data AnalyticsBig Data StackBudget Optimisation AlgorithmsCC++C/C++ STLCI-CD

About

Specialties Big Data Stack (Hadoop, Spark 2.3, NoSQL, Visualization, BI Reporting), Graph Theory, Linear programming, MetaHeuristics, Reinforcement Learning, VRP, Data Mining, Machine Learning, Statistics, Java, Python, Scala, SQL, HBase Projects Static Linehaul Optimization tool, Rivigo Maps, Pilot Lifestyle Optimization Framework at Rivigo Working on NP hard problems and heuristics Built Content Ranking and User-Personalization Frameworks Designed and developed Big Data Processing Engines to report real time statistics Designed engine to diagnose root cause analysis of faults in 4G networks.

Experience

17 yrs 6 mos
Total Experience
2 yrs 6 mos
Average Tenure
4 yrs 1 mo
Current Experience

Eightfold

Engineering Leader

May 2022Present · 4 yrs 1 mo · India

  • Led a team of 8-10 engineers in the development of a job hunting platform tailored for the blue and grey collar segments.
  • Oversaw the full software development lifecycle, from ideation and prototyping to deployment and maintenance.
  • Led the development of an AI-powered chatbot to assist job seekers in their job hunting journey.This involved integrating functionalities like suggesting relevant job opportunities, facilitating job applications, and coordinating interview scheduling to enhance the efficiency of the job search experience.
AI-powered chatbotsoftware development lifecyclejob hunting platformSoftware DevelopmentAI Integration

Apna

Director Of Engineering

Apr 2021Apr 2022 · 1 yr

  • DevOps:
  • Faster & reliable CI-CD, Infra Cost Management, streamlined collaboration with devs, automation tasks to decrease dependencies on DevOps team
  • Growth:
  • User Onboarding experience, Website experience, Partner integrations
  • Platform Services:
  • Payment Gateways, Data Ingestion, A/B Experimentation
  • Data Engineering:
  • Realtime User Facing Event Analytics with Kafka Streams & Pinot
  • User Cohort Job Feed Platform: A Spark-based plug-n-play engine, that creates ML-powered feeds for user cohorts and also provides a unified API for both batch and streaming.
CI-CDInfra Cost ManagementA/B ExperimentationKafka StreamsSparkDevOps+1

Limereach

Co-Founder & CTO

May 2019Apr 2021 · 1 yr 11 mos

  • LimeReach is an AI-powered SaaS platform designed to provide solutions to e-commerce business. Key solutions: a.) Budget Optimisation Algorithms to maximise the marketing ROI b) Powering website product feeds with an AI layer built by capturing user behaviour on the website.
Budget Optimisation AlgorithmsAI-powered SaaS platformAI SolutionsSaaS Development

Rivigo

Technical Architect/ Data Science

Nov 2017May 2019 · 1 yr 6 mos · Gurgaon, Haryana, India

  • Static LineHaul Network based on historical demands and customer service commitments.
  • It uses concepts of Graph Theory, Linear Programming, Monte Carlo Simulations and Genetic Programming to create Vehicle Routes and Schedules which form the basis of day-to-day linehaul operations.
  • ETA Services for Trucks using Historic GPS data of Rivigo’s fleet and OSM to create in-house ETA services for multiple truck types.
  • Apache Spark 2.3, OSM, GraphHopper and IOT knit together create this powerful bundle of ETA Prediction models and Shortest/Fastest/Cheapest Routes Services.
  • Pilot's Lifestyle
  • Pilot to Trip Allocation Service which ensures that every pilot returns back to their homes the very same day. It maximizes pilot utilization by maintaining a balance between his lifestyle and opportunity cost. It uses Hungarian Algorithm, Linear programming and Genetic programming to match pilots with upcoming trips.
  • Real Time Fuel Pilferage Detection which raise realtime alerts on detecting fuel theft while the vehicle is on move.
Graph TheoryLinear ProgrammingMonte Carlo SimulationsGenetic ProgrammingData ScienceOptimization Algorithms

Hike messenger

Data Science

Apr 2016Aug 2017 · 1 yr 4 mos · New Delhi Area, India

  • Designed, Architected and coded Sticker Recommendation Platform. Major responsibilities were to create full stack end-to-end data analytical pipelines comprised of Machine Learning blocks, Data cleaning and aggregation modules, Big Data Stack.
  • Designed, Architected And Coded Content Ranking & User Personalisation Platform. The platform collects content feedback from users and ranks content realtime for multiple segments and content categories using pluggable ranking techniques thereby serving most trending and personalised content to users.
  • Social Influencer Index using network analysis, pattern mining and regression modelling
  • Designing Targeted Marketing Campaign. Major responsibilities include User Segmentation, Offer Variant Strategies, A/B Experimentation, creating prediction models, simulating campaign on network to analyse cost and impact.
  • Hands-on expertise on Kafka, Apache Spark, Spark Streaming, HBase, Redis, MongoDb, Hive and GraphLab
Machine LearningData AnalyticsBig Data StackData Science

Guavus

Senior Software Engineer

Jun 2013Feb 2016 · 2 yrs 8 mos · Gurgaon, India

  • Designing a Service Assurance Product for VoLTE (4G voice call services) for root cause analysis of the faults/degradations occurring in the network. Requires extensive understanding of graphs and machine learning techniques like Bayesian Networks, Markov Chains, Unsupervised Classification Methods etc.
  • Design and development of Big Data analytics platform for DDOS Attacks (Anomaly) Detection and Prevention using Java, Scala, Apache Spark and Yarn.
  • Conducting In-House Trainings of Apache Spark and NoSql.
  • Porting MapReduce Applications to Spark Applications thereby gaining significant runtime improvements.
  • Worked with Approximate Query Processing algorithms.
Big Data AnalyticsJavaScalaApache SparkData EngineeringBig Data Solutions

Mentor graphics

3 roles

Senior Member Technical Staff

Oct 2010Jun 2013 · 2 yrs 8 mos · Noida Area, India

  • Working as a part of Veloce Compiler RnD Team.
  • Responsibilities mainly include designing efficient solutions for compile time improvement. Had also handled customer issues in asia-pacific region for quite sometime.
Compiler DesignCustomer SupportSoftware Engineering

Senior Member Technical Staff

Jun 2008Oct 2010 · 2 yrs 4 mos · Noida Area, India

  • Worked for Precision Synthesis RnD team.
  • Responsibilities included improving the Quality of Result (QofR), improving software runtime and handling customer issues.
Quality ImprovementRuntime OptimizationSoftware Engineering

Summer Intern

May 2007Jul 2007 · 2 mos · Noida Area, India

  • Worked for Precision Synthesis Team.
  • Was offered a permanent position for my contributions.

Education

Delhi College of Engineering

BE — Computer Science

Jan 2004Jan 2008

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