Nikhil Saini

Lead Engineer

Samsung Research Institute Bangalore

Biography

Welcome 👋 Let’s sit for a ☕️ and discuss anything interesting.

I’m Nikhil Saini, a Lead Engineer in the Language AI Team at Samsung Research Institute Bangalore.

My research interests include AI/ML 🤖 applied on Natural Language.

Currently, researching on Generative AI (LLMs) applied to natural language. Some of these are around Data generation (using Prompt Engineering), LLM Finetuning (LoRA), Model Compression 🗜 (QLorA, GPTQ …), Model Selection, Evaluation, Ondevice execution of LLMs (Tflite), and for more let’s get in touch 😉

Previously🔙: I’ve worked at CFILT and CSALT lab with Prof. Pushpak Bhattacharyya and Prof. Preethi Jyothi on problems involving Speech and NLP during post-graduation 👨‍🎓.

Interests

Natural Language Processing
Generative AI

Education

M.Tech (Research), 2021
IIT Bombay
B.E, 2018
MSU Baroda

Experience

Lead Engineer

Samsung Research Institute Bangalore

Mar 2023 – Present Bengaluru, Karnataka

Domain:

Generative AI - Large Language Models
OnDevice LLMs
Multimodal Assistants for Bixby

Senior Software Engineer

Samsung Research Institute Bangalore

Jul 2021 – Mar 2023 Bengaluru, Karnataka

Domain:

Natural Language Understanding: Text Classification Enhancement
Explainable AI
Reviewer in LREC, ICON

Research Assistant

Computer Center, IIT Bombay

Jul 2018 – Jun 2021 Powai, Mumbai

Responsibilities include:

System Administration
Monitoring
Networking

Honours & awards

Annual Award 2021-2022

Samsung Research Institute Bangalore, India Aug 1014

The Ascendant Stars - Voice Intelligence Team (Young Achiever of the Year Award)

Samsung Software Expert Academy - Professional Coder

Samsung Research Institute Bangalore, India Aug 1013

Professional level coder amongst all Samsung Employees.

Samsung Excellence Award

Samsung Research Institute Bangalore, India Aug 1012

This award recognizes an individual for his/her contribution and excellence in work, extraordinary commitment, leveraging & development of talent, extension of support and achievements beyond functional scope and process improvements.

Excellence in Research Award

IIT Bombay Aug 7078

Research Excellence for M.Tech Thesis Project 2020-21 is awarded to the graduating student by taking into account both qualitative aspects of the nominations as well as the output (publications, software, and other artifacts produced).

See certificate

Featured Publications

Nikhil Saini, Jyotsana Khatri, Preethi Jyothi, Pushpak Bhattacharyya

July 2020 In ACL

Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT2020

Using denoising auto-encoder and backtranslation, this work beats a baseline model by a margin of 4.21 and 3.11 BLEU points where the baseline uses disfluent and fluent references, respectively, without an access to disfluent-to-fluent parallel corpus.

PDF

Recent Publications

Jyotsana Khatri, Nikhil Saini, Pushpak Bhattacharyya (2021). Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021. In WAT 2021.

Dataset

Nikhil Saini, Drumil Trivedi, Shreya Khare, Tejas Dhamecha, Preethi Jyothi, Samarth Bharadwaj, Pushpak Bhattacharyya (2021). Disfluency Correction using Unsupervised and Semi-supervised Learning. In EACL.

PDF Video

Nikhil Saini, Jeet Rabari, Mamta C. Padole, Vaibhav Solanki (2021). Load Balancing in Heterogeneous Distributed Systems Using Singleton Model. In PDGC.

PDF DOI