Professional and academic

Experience

Applied research roles spanning language-model adaptation, multilingual learning, large-scale evaluation, and ML systems.

Based in India · Working across research, product, and open-source communities.

Industry

Professional experience

Applied research roles spanning language-model adaptation, multilingual learning, customer-facing NLP, and ML systems.

Aug 2025 — Present

India

Applied Scientist 2

Microsoft India

India Applied Sciences

Building efficient language-model capabilities for product applications, from adaptation and training-data design through large-scale evaluation.

  • Finetuning large and small language models to improve application intelligence across new tasks and domains.
  • Exploring on-policy distillation of frontier models into cost-efficient, purpose-built small language models.
  • Supporting a strong research culture through paper curation, reading groups, and technical presentations.
  • LLM adaptation
  • Model distillation
  • Evaluation

Sep 2023 — Jul 2025

Bengaluru, India

Research Fellow

Microsoft Research India

Mentored by Dr. Sunayana Sitaram

Researched how pretrained language models can gain multilingual capabilities efficiently without sacrificing existing performance.

  • Developed active-forgetting and modular-learning approaches for cross-lingual transfer and language adaptation.
  • Studied catastrophic forgetting, multilingual parameter-efficient finetuning, and broad multilingual evaluation.
  • Ran distributed pretraining and post-training experiments on clusters spanning more than 100 GPUs.
  • Multilingual LLMs
  • Continual learning
  • Distributed training

Aug 2022 — Aug 2023

Gurugram, India

AI Researcher

American Express AI Labs

Advanced NLP

Applied language models to customer-care and text-understanding workflows while building scalable training-data systems.

  • Finetuned LLaMA models for response generation and built text-classification workflows with DeBERTa and RoBERTa.
  • Combined abstractive summarization and classification for high-precision analysis of call-log data.
  • Designed data curation and preprocessing pipelines on petabyte-scale Hadoop infrastructure.
  • NLP
  • LLM finetuning
  • Data systems

Mar 2021 — May 2022

India

Data Scientist

Builder.ai

Worked on conversational recommendation, orchestration, and intent understanding for product-building workflows.

  • Built text-based recommendation and conversation-orchestration systems.
  • Developed in-house intent classification for customer conversations.
  • Recommendations
  • Conversational AI

Collaborations

Academic research

Long-running collaborations in multilingual NLP, natural language inference, semantic parsing, and evaluation.

2022 — 2023

Remote

Research Collaborator

AI4Bharat, IIT Madras

Advisor: Dr. Anoop Kunchukuttan

Evaluated and finetuned large language models for Indian languages.

  • Indic NLP
  • LLM evaluation

2021 — 2022

Remote

Research Collaborator

University of Utah

Advisor: Dr. Vivek Gupta

Collaborated on multilingual and tabular natural language inference and inter-bilingual semantic parsing.

  • Multilingual NLI
  • Semantic parsing

2020 — 2021

Delhi, India

Summer Fellowship Research Intern

Indian Institute of Technology Delhi

Advisor: Dr. Ashwini Vaidya

Created multilingual semantic-similarity data, baselines, and analysis for closely-related Indian languages.

  • Semantic similarity
  • Indian languages

Capabilities

Tools and methods

A compact view of the capabilities I use most often; the resume contains the complete technical inventory.

Language models

  • Finetuning & post-training
  • PEFT & adapters
  • Continual learning
  • Distillation
  • Multilingual evaluation

ML systems

  • PyTorch
  • DeepSpeed
  • Hugging Face
  • Azure ML
  • Distributed training
  • Evaluation harnesses

Engineering

  • Python
  • SQL
  • FastAPI
  • Docker
  • Kubernetes
  • CI/CD
  • Cloud systems

Education

Delhi Technological University

Bachelor of Technology · 2017–2021

Coursework across machine learning, natural language processing, computer vision, probability, algorithms, databases, operating systems, and networks.

Academic service

Reviewing & community

Conferences
EMNLP 2024 · NAACL 2024 · ACL 2025 · EMNLP 2026
Workshops
NLP4ConvAI @ ACL 2024 · ACM AIMLSys Workshop 2023 · Continual FOMO @ NeurIPS 2024 · FITML @ NeurIPS 2024