Arnesh Kumar Issar

Experience

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  Autonomous Ground Vehicle Research Group

  Mar 2019 - Mar 2022

  • Worked in the motion-planning, perception, and localization modules for autonomous mobile robots Eklavya 7.0 which was aimed towards autonomously navigating in constrained environments while avoiding obstacles and following pre-established GPS way-points.• Lead team of undergraduates for implementation of planning strategies for efficient path tracking of Ackerman steering based vehicles using both Dubin’s path heuristic-based Hybrid-A* and Sampling-based Frenet-Optimal Trajectory planner, optimizing them through parallel-processing by 50%.• Currently working on Reinforcement Learning based planner implementation on Carla Urban Simulator. Show less

  • Team Lead

    Feb 2020 - Mar 2022

  • Software Team Member

    Mar 2019 - Mar 2020
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  Indian Institute of Technology, Bhilai

  Jun 2020 - Sept 2020

  SDE Intern

  • Developed a Minimum Viable Product (MVP) for rural healthcare centres to improve medical services• Designed the database schema in SQL for storing patient medical history and developed the pipeline for symptom-disease classification• Constructed the training dataset for the disease classification machine learning models by scraping websites using Selenium and Pandas• Developed the API for disease classification in AWS, achieving an accuracy of 92% using Random Forest and Naive Bayes classifiers Show less

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  Indy Autonomous Challenge

  Aug 2020 - Jan 2021

  Planning Team Lead

  • Implemented a graph-based planner as part of the Motion Planning Team, adding complex race maneuvers like blocking & overtaking at turns.• Developed the algorithm for deriving the optimal racing line for the controller by modelling system dynamics like tire forces and friction• Reduced the lap time by 7% through an optimized cost function and implemented the use of drafting to improve overtaking maneuvres

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  Centre for Artificial Intelligence, IIT Kharagpur

  Dec 2020 - Apr 2021

  Research Fellow

  • Optimized a simulation software for understanding the effects of various factors on the spread of contagious diseases• Reduced computation time by 44% through CPU-based parallel processing in Python to optimize the use of the available computation• Documented the entire codebase along with the dataflow, reducing the debugging time by 3 hours per week for the development team• Formulated an intervention policy predictor which optimizes the number of affected cases and the loss to the economy during lockdowns Show less

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  ARTPARK

  May 2021 - Jul 2021

  Research Fellow

  The work consisted of setting up a simulation stack for the ARTPARK Robotics Challenge 2021. The challenge requires a robot to demonstrate janitorial tasks that would be typically performed in a washroom.

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  Rutgers University–New Brunswick

  Jun 2021 - Sept 2021

  Summer Reserach Fellow

  Advisors - Prof. Richard Martin & Prof. Richard Howard• Studied the effects of electromagnetic fields on day-to-day activities of honeybees as part of a 5G deployment project• Developed a deep learning video system for 24x7 tracking of bees inside beehives, achieving 0.95 precision on a modified U-Net model• Reduced the video feed noise by 42% (RMS) by developing an OpenCV pipeline with Non-Local Means Denoising and Gaussian Blurring

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  Chi SquareX

  Oct 2021 - Apr 2023

  Co-Founder

  An Early-Stage startup providing Data Science and Machine Learning solutions in collaboration with college students• Oversaw deployment of solutions for 15+ early-stage startups, providing a solid business case while maintaining the value proposition• Increased revenue by 12% YoY by identifying average project time as a critical metric and reducing it by 40% through agile management• Collaborated with cross-functional teams of engineers and designers while maintaining a Net Promoter Score of 50 as a project manager• Established the technical writing division, which contributed 30% to the company's international revenue of 20000$+ in the FY 2021-22 Show less

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  Dr. Reddy's Laboratories

  May 2022 - Jul 2022

  • Identified product entry opportunity in a $755M market and collaborated with the pharmaceutical division to develop a proof-of-concept• Built a visual patient monitoring system with Object Detection and Activity Classification using Python, TensorFlow and HuggingFace• Designed a system for detecting patient fall which achieved 93% accuracy on the Le2i dataset using AlphaPose, GCN and Tiny-YOLO• Integrated the software into a proof-of-concept device which was later pitched as a potential market entry product to the business unit Show less

  • Product Development

    Jun 2022 - Jul 2022

  • Business Analytics

    May 2022 - Jun 2022
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  Topmate.io

  Aug 2023 - now

  Mentor
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  LimeChat

  Aug 2023 - Oct 2023

  Founder's Office

  • Spearheaded Click-to-WhatsApp Ads (CTWA) product collaboration with Meta and Google, securing product-market fit for 20+ brands.• Achieved 50% higher ROAS than traditional campaigns by reducing agent calling via automated lead tagging and retargeting.• Reduced campaign setup time by 40% through Chat-GPT integration for query-based user segmentation and chat flow building.

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  Arthur D. Little

  Nov 2023 - now

  Business Analyst

  Working with clients across multiple industries (Mobility, Financial Services, Healthcare, etc.), and geographies (India & ME) helping them in large-scale operations & cost transformation projects, Go to Market & Commerical Due diligences