A

Aabha Pingle

Software Engineer

Seattle, Washington, United States3 yrs 2 mos experience
Most Likely To Switch

Key Highlights

  • Developed innovative tools for automated invariant generation.
  • Published research in top conferences VMCAI and SAC.
  • Contributed to NLP projects for disaster management.
Stackforce AI infers this person is a Machine Learning and NLP specialist with a strong research background.

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Skills

Core Skills

Software DevelopmentResearchMachine Learning

Other Skills

data-driven developmentinvariant generationprogramming languagesLarge Language Modelsautomated synthesisPython

Experience

3 yrs 2 mos
Total Experience
10 mos
Average Tenure
2 yrs
Current Experience

Amazon web services (aws)

Software Dev Engineer

Jun 2025Present · 11 mos · Seattle, Washington, United States

Usc viterbi school of engineering

2 roles

Grader

Feb 2025May 2025 · 3 mos · Los Angeles, California, United States · On-site

  • Evaluated student homeworks and exams for CSCI 585 Database Systems, a graduate-level course. This graduate-level course covers how database systems are structured and work, including different types of database models, how users and programs interact with databases, and key topics like data integrity, security, handling multiple users, and system recovery.

Graduate Research Assistant

May 2024Present · 2 yrs · Los Angeles, California, United States · On-site

  • Working at the Cyber-Physical Systems - Verification, Intelligence, Design, and Analysis (CPS-VIDA)(https://cps-vida.github.io) Lab at USC.
  • Developed a data-driven, template-free invariant generation tool while monitoring distributed systems online or offline, adaptable to any programming language.
  • Designed and integrated a framework with Large Language Models (LLMs) to enhance automated invariant synthesis, outperforming traditional LLMs and dynamic invariant generators.
  • Publications accepted at VMCAI 2025 (https://conf.researchr.org/home/VMCAI-2025) and SAC 2025 (https://www.sigapp.org/sac/sac2025/).
  • Publication link 1 - https://link.springer.com/chapter/10.1007/978-3-031-82700-6_1
  • Publication link 2 - https://dl.acm.org/doi/10.1145/3672608.3707984

L3cube (pict linux user group)

Project Intern

Jul 2022May 2023 · 10 mos

  • 1. Indic Language Summarization - https://arxiv.org/abs/2212.05702
  • 2. L3Cube-MahaSent-MD - https://arxiv.org/abs/2306.13888
  • 3. BE Project - https://arxiv.org/abs/2310.00734

Laboratory for computational social systems (lcs2), iiit-delhi

Research Intern

May 2022Aug 2022 · 3 mos

  • Worked under the supervision of Dr. Md. Shad Akhtar, supported through a Google exploreCS Research grant.

Algoanalytics

NLP Intern

Mar 2022Jun 2022 · 3 mos

Pune institute of computer technology

Undergraduate Research Assistant

Sep 2021Dec 2021 · 3 mos

  • Worked on devising a novel single document extractive text summarization technique using domination in hypergraphs. A research paper related to the same was accepted and presented at the Second International Conference on Emerging Trends and Innovations in ICT-2022. This work was carried out under the guidance of Prof. S.S. Sonawane.

Omdena

Junior Machine Learning Engineer

May 2021Jul 2021 · 2 mos

  • Collaborated on implementing an NLP tool to improve natural disaster and water resource management.
  • Created an NLP pipeline for classifying newspaper articles into specific disaster events.

Education

University of Southern California

Master of Science - MS — Computer Science

Aug 2023May 2025

Pune Institute of Computer Technology

Bachelor of Engineering - BE — Computer Engineering

Jan 2019Jan 2023

M.Prakash Institute

Jun 2014Jan 2019

Sri Chaitanya College of Education

Jan 2017Jan 2019

S.P.M English School, Pune

SSC Grade - 97.6 %

Jan 2005Jan 2017

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