Aman Kansal

AI Researcher

Stanford, California, United States5 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Published research in top-tier AI conferences.
  • Expertise in developing innovative AI solutions.
  • Strong background in teaching and mentoring.
Stackforce AI infers this person is a highly skilled AI engineer with a focus on machine learning and natural language processing.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningArtificial Intelligence (ai)Computer NetworkingOperating SystemsDeep LearningComputer ArchitectureDatabasesData SciencePredictive ModelingComputer Vision

Other Skills

3d computer visionAndroid StudioAngularJSBashBootstrapCSSDjango REST FrameworkFlaskGNU OctaveGenerative Adversarial Networks (GANs)GitGraph EmbeddingsHTMLJavaScriptKeras

About

Machine learning engineer with expertise in AI, currently building at Parallel as an early engineer. My research in AI has been published in top-tier conferences including NeurIPS and ICASSP. I hold a Master's in Computer Science (AI concentration) from Stanford and a Bachelor's in Computer Science from IIT Bombay. I'm driven by solving complex technical challenges and developing innovative AI solutions that create meaningful impact. Open to collaborating with fellow researchers and engineers passionate about pushing the boundaries of AI.

Experience

Parallel web systems inc.

Member of Technical Staff

Nov 2024Present · 1 yr 4 mos · Palo Alto, California, United States · On-site

  • building SOTA deep research agents

Granica

Machine Learning Engineer

Jul 2024Nov 2024 · 4 mos · Mountain View, California, United States · On-site

  • language models for data anonymization
Transformer ModelsGraph EmbeddingsNatural Language Processing (NLP)Machine LearningArtificial Intelligence (AI)Large Language Models (LLM)

Stanford university

6 roles

Teaching Assistant

Mar 2024Jun 2024 · 3 mos

  • CS 221: Artificial Intelligence: Principles and Techniques
Artificial Intelligence (AI)

Teaching Assistant

Dec 2023Mar 2024 · 3 mos

  • CS 104: Software Systems
Computer Networking

Teaching Assistant

Sep 2023Dec 2023 · 3 mos

  • CS 111: Operating Systems
Operating Systems

Head TA

Promoted

Mar 2023Jun 2023 · 3 mos · Stanford, California, United States

  • CS 230: Deep Learning (Prof. Andrew Ng)
Deep LearningReinforcement LearningGenerative Adversarial Networks (GANs)Natural Language Processing (NLP)Computer Vision

Teaching Assistant

Dec 2022Mar 2023 · 3 mos · Stanford, California, United States

  • CS 107: Computer Organization & Systems
Operating SystemsComputer Architecture

Teaching Assistant

Sep 2022Dec 2022 · 3 mos · Stanford, California, United States

  • CS 145 - Databases
DatabasesRelational DatabasesPython (Programming Language)Data ScienceUniversity LecturingSoftware Design

Granica

Machine Learning Engineer

Jun 2023Sep 2023 · 3 mos · Mountain View, California, United States

  • · Enhanced person-name classification with ChatGPT and RoBERTa in a teacher-student setup, handling diverse customer data types (JSON, HTML, Free-text). Achieved 1.5x recall and 3x precision improvement.
  • · Boosted production system speed by 3x through heuristic optimizations, batching, and caching.
Deep LearningLarge Language Models (LLM)Natural Language Processing (NLP)

Samsung electronics

Software Engineer

Sep 2021Sep 2022 · 1 yr · South Korea

  • Developed diagnostic data analysis software using MySQL, Node.js, and Plotly to track and visualize performance metrics for Samsung's unit test devices. Led research on device aging patterns, analyzing time-induced performance deterioration in Android systems.
Deep LearningNatural Language Processing (NLP)Predictive ModelingObject-Oriented Programming (OOP)

Uplara

Machine Learning Intern

May 2021Jul 2021 · 2 mos

Deep LearningComputer Vision3d computer vision

Samsung electronics

Software Engineering Intern

May 2020Jun 2020 · 1 mo · South Korea

  • Developed a client-server system for asynchronous task outsourcing, handling APK installation and file transfer. Implemented an asynchronous heartbeat mechanism to ensure system reliability regardless of job processing time. Collaborated with engineering team to optimize performance and scalability of distributed systems.

Inria

Research Intern

May 2019Aug 2019 · 3 mos · Nancy Area, France

  • Extended the Deepsec tool for protocol security verification to handle Determinate Probabilistic Protocols. Developed symbolic syntax and semantics for formal specification of probabilistic protocols based on comprehensive analysis of current research in the field.

Indian institute of technology, bombay

Teaching Assistant

Jan 2019May 2021 · 2 yrs 4 mos · Mumbai

  • During my time as a Teaching Assistant at the Indian Institute of Technology, Bombay, I had the pleasure of teaching and assisting students in three different courses. These courses included:
  • Abstractions and Paradigms for Programming: An introductory course for CS freshmen covering various programming paradigms, such as functional, declarative, and object-oriented programming.
  • Data Analysis and Interpretation: An undergraduate probability and statistics course that taught students how to analyze and interpret data.
  • Organization of Web Information (Web Mining): A graduate course that covered advanced concepts of natural language processing and information extraction, aimed at providing students with the skills to organize and extract meaningful information from the web.
  • As a Teaching Assistant, I was responsible for leading discussion sessions, grading assignments and exams, and providing one-on-one assistance to students who needed extra help. I found the experience to be incredibly rewarding and enjoyed helping students succeed in their academic pursuits.

Kwench - employee engagement redefined

Machine Learning Intern

Nov 2018Jan 2019 · 2 mos · Noida Area, India

  • Implemented NLP features for the Thanks App workplace plugin. Developed a domain-specific typeahead prediction system and a 14-class auto-tagging module, enhancing user input efficiency and content organization.

Education

Stanford University

Master of Science - MS — Computer Science

Sep 2022Jun 2024

Indian Institute of Technology, Bombay

Bachelor's degree — Computer Science

Jan 2017Jan 2021

Cambridge Court High School - India

High School

Jun 2015Jun 2017

Stackforce found 100+ more professionals with Natural Language Processing (nlp) & Machine Learning

Explore similar profiles based on matching skills and experience