[{"data":1,"prerenderedAt":207},["ShallowReactive",2],{"publications":3,"projects":30,"experience":123,"education":169,"i-lucide:menu":194,"i-lucide:link":199,"i-lucide:arrow-up-right":201,"i-mdi:paper":203,"i-mdi:github":205},[4,17],{"id":5,"authors":6,"date":7,"desc":8,"extension":9,"links":10,"meta":11,"name":12,"preview":13,"preview_classes":10,"stem":14,"venue":15,"__hash__":16},"publications\u002Fpublications\u002F01.zero-shot_transfer.yaml","Joe Doerr, \u003Cb>Alina Tong\u003C\u002Fb>, Aakash Madisetty, Mihir Chanduka, Rohan Karamel, and Kostas Bekris","2026","We're developing a novel policy training method that searches through multiple learned RL policies\nusing MCTS to generate expert trajectories. Expert demonstrations are distilled into a point-cloud task-planner and low-level policies.\n","yaml",null,{},"Zero-shot Transfer of Learned Composed Skills for Targeted Retrieval from Cluttered Shelves","\u002Fimages\u002Fzero-shot_transfer.png","publications\u002F01.zero-shot_transfer","In-Progress","F-1mrWv-CZTd9Owrtb891XBPRSfAe64I0b3Y_kxACX4",{"id":18,"authors":19,"date":7,"desc":20,"extension":9,"links":21,"meta":24,"name":25,"preview":26,"preview_classes":10,"stem":27,"venue":28,"__hash__":29},"publications\u002Fpublications\u002F02.openset_object_retrieval.yaml","Daniel Nakhimovich, Joe Doerr, Kevin Chen, \u003Cb>Alina Tong\u003C\u002Fb>, Bowen Wen, Kostas Bekris","We present hybrid VLM + dependency graph-based task-planner, \nand demonstrate its effectiveness in open-set object retrieval in clutter. \nEvaluated on real and simulated environments.\n",{"paper":22,"website":23},"https:\u002F\u002F2026vlmtaskplanningclutter.github.io\u002Fpaper.pdf","https:\u002F\u002F2026vlmtaskplanningclutter.github.io\u002F",{},"Open-Set Object Retrieval in Clutter via Hybrid Vision-Language and Geometric Reasoning","\u002Fvideos\u002Fopenset_object_retreival.webm","publications\u002F02.openset_object_retrieval","Under Review","_lCVhH0CoKdiBccjKrCGiV4iqryAuIluUnrFzz3Ts3k",[31,50,65,82,98,110],{"id":32,"date":33,"desc":34,"extension":9,"links":41,"meta":43,"name":44,"preview":45,"preview_classes":46,"stem":47,"subtitle":48,"__hash__":49},"projects\u002Fprojects\u002F01.imitation_learning.yaml","Summer 2025",[35,36,37,38,39,40],"Built imitation learning infrastructure in Python and ROS Noetic to train and test robot policies on the UR5e and Motoman SDA10F robots","Used MuJoCo to test and train robots in simulation","Built automated object placement and scene generation tooling for domain randomization","Built keyboard teleoperation with inverse kinematics and set up GELLO teleoperation framework","Built a data-collection system that saves human demonstrations as LeRobot datasets","Collected demonstrations to fine-tune the pi-0 VLA model for the UR5e",{"github":42},"https:\u002F\u002Fgithub.com\u002FAtlinx\u002Fpracsys_imitation_learning_ws",{},"Imitation Learning Pipeline","\u002Fvideos\u002Fgello.mp4","object-bottom","projects\u002F01.imitation_learning","PRACSYS Lab","mgWBZf3LtB0nqaQopCZWAnSIWpxreCFUSaeJ80C34fQ",{"id":51,"date":52,"desc":53,"extension":9,"links":10,"meta":58,"name":59,"preview":60,"preview_classes":61,"stem":62,"subtitle":63,"__hash__":64},"projects\u002Fprojects\u002F02.alpha_strive.yaml","May 2025",[54,55,56,57],"Side-project to learn reinforcement\u002Fimitation learning by applying techniques to the fighting game Guilty Gear Strive","Reverse engineered the compiled game code and built a C++ frontend to interact with the video game logic and a Python backend to run the AI model and control the training","Trained a DQN model to play the game, using PyTorch and Numpy","Scraped replay data of matches and trained a behavioral-cloned model to play the game",{},"Alpha Strive","\u002Fvideos\u002Falpha_strive.mp4","object-right","projects\u002F02.alpha_strive","Personal Project","aSFtHgI0G-vQO3fvRuQxBtIlZTrLM24M-eb6pU9DL1g",{"id":66,"date":67,"desc":68,"extension":9,"links":73,"meta":75,"name":76,"preview":77,"preview_classes":78,"stem":79,"subtitle":80,"__hash__":81},"projects\u002Fprojects\u002F03.transfer_learning.yaml","Spring 2025",[69,70,71,72],"Final project for CS439 to identify the efficacy of transfer learning in sentiment analysis","Conducted literature review of sentiment analysis, learning about lexicons, Naive Bayes, parts-of-speech tagging, aspect-based sentiment analysis, sentence + document sentence-level sentiment analysis","Scraped data from review platforms (Steam, IMDB, Metacritic) and fine-tuned the BERT models to predict review ratings from text","Compared performance of the generalist model trained on all data against specialized models trained solely on each platform in a 7-page Latex report",{"github":74},"https:\u002F\u002Fgithub.com\u002FAtlinx\u002FBERT-TLSA-paper",{},"Transfer Learning in Sentiment Analysis","\u002Fimages\u002Fsteam_reviews.png","object-top-left","projects\u002F03.transfer_learning","CS439 Intro to Data Science Project","XBEN2n5LhdH4F0zEcKfKFhZ1RxFW34alWf_a9SBUAU0",{"id":83,"date":84,"desc":85,"extension":9,"links":89,"meta":91,"name":92,"preview":93,"preview_classes":94,"stem":95,"subtitle":96,"__hash__":97},"projects\u002Fprojects\u002F04.a_star.yaml","Spring 2024",[86,87,88],"Built a simulation for an agent pathfinding through a 2D maze using variations of the A* algorithm in Rust","Evaluated and summarized performance of algorithms in a 6-page Latex report","Designed a two-tailed t-test for evaluating the difference between Repeated Forward A* and Repeated Backward A*",{"github":90},"https:\u002F\u002Fgithub.com\u002FAtlinx\u002FRU-CS440\u002Ftree\u002Fmain\u002Fassignment_1",{},"A* Simulation","\u002Fvideos\u002Fastar_maze.webm","object-left","projects\u002F04.a_star","CS440 Intro to AI Project","1T5oHd7iIQYDdI5gDJC5AnHBRH5VoPdqGb6VD08lyLU",{"id":99,"date":67,"desc":100,"extension":9,"links":102,"meta":104,"name":105,"preview":106,"preview_classes":61,"stem":107,"subtitle":108,"__hash__":109},"projects\u002Fprojects\u002F04.iloc_scheduler.yaml",[101],"Built bottom-up compiler IR instruction scheduler in React, NextJS, with a D3.js visualization of the instruction dependency graph, deployed on Vercel",{"demo":103},"https:\u002F\u002Fru-cs-415-iloc-scheduler.vercel.app\u002F",{},"ILOC Instruction Scheduler","\u002Fvideos\u002Filoc_scheduler.mp4","projects\u002F04.iloc_scheduler","CS415 Compilers Project","Ci1NdwlTKDXEdzLMET0DjQ4ke26uelF0ik0vM5Em7G4",{"id":111,"date":84,"desc":112,"extension":9,"links":116,"meta":118,"name":119,"preview":120,"preview_classes":94,"stem":121,"subtitle":96,"__hash__":122},"projects\u002Fprojects\u002F05.nn_scratch.yaml",[113,114,115],"Built a feed-forward neural network from scratch using Rust","Trained model to classify digits from the MNIST dataset and ascii faces, and achieved accuracy of 90.57%","Evaluated and summarized performance of neural network in a 8-page Latex report",{"github":117},"https:\u002F\u002Fgithub.com\u002FAtlinx\u002FRU-CS440\u002Ftree\u002Fmain\u002Fassignment_4",{},"Neural Network From Scratch","\u002Fvideos\u002Fmlp_mnist.webm","projects\u002F05.nn_scratch","XRNzjWYy85cXcXIvTt7Fy0Yq4Eet9Sv-Qy4i4TsehLk",[124,139,155],{"id":125,"date":126,"desc":127,"extension":9,"links":131,"logo":133,"meta":134,"name":135,"preview":10,"preview_classes":10,"stem":136,"subtitle":137,"__hash__":138},"experience\u002Fexperience\u002F01.research_assistant.yaml","Spring 2025 - Present",[128,129,130],"Worked with a PhD student on an Imitation Learning project, building software infrastructure","Worked with a PhD student on a VLM task-planning paper","Presented a talk on our imitation learning infrastructure to group of 20+ students and faculty",{"website":132},"https:\u002F\u002Fwordpress.cs.rutgers.edu\u002Fpracsys-cs-rutgers-edu\u002F","\u002Fimages\u002Fpracsys.jpg",{},"Research Assistant","experience\u002F01.research_assistant","PRACSYS Lab, Rutgers University","mmZylS01fbKmRTlSQLjbY97rZKrlN_r8iwvzx0i01ws",{"id":140,"date":141,"desc":142,"extension":9,"links":10,"logo":149,"meta":150,"name":151,"preview":10,"preview_classes":10,"stem":152,"subtitle":153,"__hash__":154},"experience\u002Fexperience\u002F02.light_river.yaml","Summer 2024",[143,144,145,146,147,148],"Worked in a team of 8 on a full-stack single-paged dashboard web-app for monitoring and analyzing fiber-optic networks, using D3, VueJS, Fastify, Prisma, and Postgres","Built and deployed migration CLI that can create, track, and apply migrations in production databases","Optimized line graph SQL query to run x50 faster","Dockerized backend databases for easier local testing","Scripted a build-system for backend API + developer tools, used in a GitHub actions CI\u002FCD workflow","Built a simulation CLI tool that generates 1k+ entries for spiked alarm trend DB data to demo dashboards to customers","\u002Fimages\u002Flight_river.webp",{},"Associate Software Developer","experience\u002F02.light_river","LightRiver Software","AlIjKG9o0t7jsFP2S8wisfg7hAcCgJAfGcTP0l_t2Jo",{"id":156,"date":157,"desc":158,"extension":9,"links":161,"logo":163,"meta":164,"name":165,"preview":10,"preview_classes":10,"stem":166,"subtitle":167,"__hash__":168},"experience\u002Fexperience\u002F03.webxr.yaml","Summer 2023",[159,160],"Led development in a team of two to build six interactive AR sites for the NJ city of Lambertville's \"Flowing Together\" walking tour, using AFrame and ThreeJS","Hosted AR sites on a website built using Vuejs and Nuxt, serving 900+ monthly users",{"project":162},"https:\u002F\u002Fflowingtogether.lambertvillenj.org\u002F","\u002Fsvgs\u002Frutgers.svg",{},"WebXR Developer","experience\u002F03.webxr","Rutgers Bloustein School of Planning and Public Policy","I9U8lzNqdPIWUvRjIePh46Xnnk6gt6RLbxlmyknBpw4",[170,180],{"id":171,"awards":10,"date":172,"extension":9,"logo":173,"majors":174,"meta":176,"name":177,"stem":178,"__hash__":179},"education\u002Feducation\u002F01.upenn.yaml","2026 - 2028","\u002Fsvgs\u002Fupenn.svg",[175],"M.S.E. in Robotics",{},"University of Pennsylvania","education\u002F01.upenn","3o-w2nnd3ktd9W-PTwm2DiY8FSLpWT3SlPm5ISmir_U",{"id":181,"awards":182,"date":186,"extension":9,"logo":163,"majors":187,"meta":190,"name":191,"stem":192,"__hash__":193},"education\u002Feducation\u002F02.rutgers.yaml",[183,184,185],"Summa Cum Laude","Matthew Leydt Society \u003Cb>(top 2%)\u003C\u002Fb>","Phi Beta Kappa Honors Society \u003Cb>(top 10%)\u003C\u002Fb>","2021 - 2025",[188,189],"B.S. in Computer Science","B.A. in Leadership and Management",{},"Rutgers Unversity New Brunswick","education\u002F02.rutgers","8h-WfxIZVOKlDpLVx2Dgdzt-YYEaICg6fKB3c1ByH78",{"left":195,"top":195,"width":196,"height":196,"rotate":195,"vFlip":197,"hFlip":197,"body":198},0,24,false,"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M4 5h16M4 12h16M4 19h16\"\u002F>",{"left":195,"top":195,"width":196,"height":196,"rotate":195,"vFlip":197,"hFlip":197,"body":200},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71\"\u002F>\u003Cpath d=\"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71\"\u002F>\u003C\u002Fg>",{"left":195,"top":195,"width":196,"height":196,"rotate":195,"vFlip":197,"hFlip":197,"body":202},"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M7 7h10v10M7 17L17 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