Aug 2023 – May 2025 · 1 yr 9 mos · San Francisco, California, United States · On-site

• Researched and implemented a neuro-symbolic AI platform, enhancing Neural Entity Linking (NEL) accuracy by ∼10%.
• Developed a Retrieval−Augmented Generation (RAG) Clinical Copilot Chatbot, improving retrieval efficiency by ∼48%.
• Designed an MLOps pipeline for high-volume entity extraction from clinical PDFs, processing vast amounts of unstructured healthcare data.

Sep 2022 – Jun 2023 · 9 mos · Irvine, California, United States

• Researched data poisoning attacks on large language models (Incoder, PolyCoder) to identify vulnerabilities.
• Developed defense mechanisms through data preprocessing and fine-tuning PTLMs to improve robustness.
• Built and maintained Maestro, a gamified platform for teaching adversarial machine learning.

Jan 2022 – Jun 2022 · 5 mos · Irvine, California, United States

• Built and maintained gamified platform – Maestro, an educative tool for teaching Adversarial Machine Learning.
• Developed dataset, programming assignments and evaluation metrics for the platform.

Jun 2022 – Sep 2022 · 3 mos · Seattle, Washington, United States

• Designed, built, and tested BigData applications on large scale data for EBS Snapshots team.
• Learned and worked on big data software frameworks such as Spark and Hadoop.
• Gained working knowledge of AWS services, such as Elastic Cloud Compute(EC2), Elastic Block Storage(EBS), IAM, and Simple Storage Service(S3).
• Optimized current workflow runtime by ~50% and the associated cost by ~60%

Oct 2020 – Mar 2021 · 5 mos · Hyderabad, Telangana, India

• Researched on Adversarial Learning and Fairness of Machine Learning algorithms advised by Prof. Naresh Manwani
• Studied FGSM, JSMA, Deep Fool, Black box attacks, Evasive Attacks, Convex Optimization, Quadratic Programming
• Explored highly cited publications and executed code in Python and R using frameworks R Studio, PyTorch, TensorFlow

Aug 2019 – Feb 2020 · 6 mos

• Developed 5G Cellular Dongles interface in Samsung TV in collaboration with SK Telecom as lead developer
• Studied modem protocols such as MBIM, QMI and integrated into TV stack to achieve best results. Projects were showcased in
• CES 2020 (‘5G-8K TV’, ‘Callar for Sero TV’ (AR video call))

Jul 2017 – Sep 2020 · 3 yrs 2 mos

• Conducted research into latest advancements in Connectivity domain and structured use-cases for Samsung product
• Designed and developed interface for 4G cellular dongles into Samsung TV and maintained 3G dongle support
• Optimized performance and boosted reliability of wireless & cellular internet connection. Recommended network changes and
• reduced internet connection time for cellular networks by 83%
• Collaborated closely with senior engineers and enhanced convergence features such as Wake on Wireless, Screen Mirroring
• Mentored software engineer & software intern and organized team building activities
• Gained in-depth knowledge of networking protocols such as TCP, UDP, IPv4, IPv6, DNS and Linux, Tizen OS

May 2016 – Aug 2016 · 3 mos · Varanasi Tehsil, Uttar Pradesh, India

• Devised a novel method to detect a fault in rolling bearing and enhanced accuracy
• Preprocessing involved signal decomposition techniques namely EEMD and EWT
• Built a convolution neural network (CNN) for extracting features and classified by deploying in Python (93% accuracy)