Senior ML Engineer

Rajasvi Vinayak Sharma

Mountain View, CA · Open to Opportunities

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“Working at the intersection of GenAI and information retrieval, I specialize in LLM post-training, listwise reranking, relevance ranking, search summarization, and LLM-driven evaluation, bridging user intent and search outcomes at enterprise scale. Currently at Moveworks (acq. by ServiceNow), previously Signos, Nvidia, and Goldman Sachs.”

Experience
Moveworks(acq. by ServiceNow)
Senior ML Engineer – Enterprise Search Relevance
Mountain View, CA · Jan 2025 – Present
LLM Post-TrainingSearch RerankingSFT · LoRA · FSDPLLM Evaluation
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›Post-trained open-weight LLMs for listwise search reranking using SFT and PEFT/LoRA on multi-GPU FSDP, with a ListMLE + KL distillation objective and LLM-generated training labels over public and internal ranking datasets, lifting NDCG from 0.65 to 0.70.
›Shipped the fine-tuned reranker to production as the second-stage ranker, replacing a pointwise BGE cross-encoder and using compressed passage embeddings to make listwise LLM reranking feasible within the existing latency budget.
›Built the first LLM evaluation framework for search summarization serving over 5,000 customers, designing reference-less metrics for relevance, groundedness, citation validity, and multilingual fidelity, lifting summary relevance from 60% → 80%.
›Established ranking evaluation infrastructure with labeled datasets for team-wide model and feature validation, and automated training data generation, reducing turnaround 10× via parallel LLM annotation of 500K query-document pairs.
›Implemented a listwise LLM annotator for training and evaluation dataset creation, and designed a human-in-the-loop flow escalating ambiguous pairs to annotators to build high-confidence ranking eval sets with 60% less human labeling effort.
Signos
Machine Learning Engineer
Remote, CA · Apr 2023 – Dec 2024
Deep LearningTime-SeriesML for HealthFeature Engineering
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Nvidia
Data Scientist Intern
Santa Clara, CA · Jun 2022 – Sep 2022
Time-SeriesAnomaly DetectionKubeflow
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Goldman Sachs
Data Scientist, Analyst
Bengaluru, India · Jun 2018 – Aug 2021
BERT / RoBERTaNLPXGBoost / LGBM
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Samsung R&DInstitute, Noida
Summer ML Intern
Noida, India · May 2017 – Jul 2017
CNNTensorFlowOn-device ML
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IIST
Summer Research Intern
Indian Institute of Space Science & Technology
Thiruvananthapuram, India · May 2016 – Jul 2016
Machine LearningHPCEnsemble Methods
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Projects
Clickbait Spoiler GenerationSep – Dec 2022
SemEval'23 Shared Task

2-stage pipeline using text classification, QA, and ranking models. Fine-tuned DeBERTa, RoBERTa, DistilBERT — achieved 36.4 BLEU-4, surpassing benchmark.

PyTorch · Hugging Face
Neural Collaborative FilteringJan – Mar 2022
Recommendation Systems

Implemented NCF from He et al. 2017 — GMF, MLP, and NMF models evaluated on 1M MovieLens dataset with comparative analysis.

PyTorch · Pandas
NER with BiLSTM-CRFMar – May 2022
CoNLL-2003 Shared Task

Custom BiLSTM-CRF for NER with forward algorithm for partition function and Viterbi decoding for inference.

PyTorch · Pandas
Sequence Tagging with HMMMar – May 2022
Statistical NLP

Tri-gram HMM with Viterbi decoding and smoothing (Laplace, Katz Back-off, Linear Interpolation). Context-aware N-gram LM with OOD analysis.

Python · Plotly
Adverse Food Events AnalysisSep – Dec 2021
FDA Data · EDA

EDA of FDA Adverse Food Events data (2004–2020). Identified serious outcome patterns across product categories and age groups.

Pandas · Plotly
Brawlhalla Elo TrackerFeb – Apr 2021
Full-stack Web App

Full-stack MERN app using Brawlhalla API to track player ratings with interactive leaderboard. Deployed on Netlify & Heroku.

React · Node.js · MERN
Skills
LLM Post-Training
Supervised Fine-Tuning (SFT)PEFT / LoRAKnowledge DistillationInstruction TuningSynthetic Data Generation
LLM Evaluation
LLM-as-JudgeReference-less MetricsGroundednessCitation Validity
ML Systems
Information RetrievalSearch & RankingLearning to RankCross-encoders / Bi-encodersRecommendation SystemsNLPTime-Series
Frameworks
PyTorchHugging Face (Transformers, PEFT)FSDPscikit-learnXGBoost
Infra / MLOps
Distributed ML TrainingSpark (PySpark, SparkSQL)KafkaKubeflowMLflowW&BDatabricksAWSGCP
Languages
PythonGoSQL
Education
UC San Diego
MS · Electrical & Computer Engineering
Major: Machine Learning & Data Science
Sep 2021 – Mar 2023
3.91 / 4.0
GPA
IIT (BHU) Varanasi
B.Tech · Electronics Engineering
Jul 2014 – May 2018
8.81 / 10
GPA
rajasvi.xyzRajasvi Vinayak Sharma · 2026