Parinay Chaturvedi

Lead ML Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 6+ years of experience in AI, NLP & LLMs.
  • Led AI-focused teams and managed product development.
  • Expertise in semantic search and entity extraction.
Stackforce AI infers this person is a Machine Learning Engineer specializing in AI and NLP solutions for various industries.

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Skills

Core Skills

Large Language Models (llm)Machine LearningNatural Language Processing (nlp)Data ScienceDeep Learning

Other Skills

Anomaly DetectionApache KafkaApplied Machine LearningArtificial Intelligence (AI)Artificial Neural NetworksAutoencodersBayesian statisticsBertCRFsCausal InferenceCoding PracticesConvolutional Neural Networks (CNN)Data AnalyticsData MiningExploratory Data Analysis

About

6+ years of experience in AI, NLP & LLMs. 2+ years of experience of managing AI & Engineering focused team. As a Lead Machine Learning Engineer at Level AI, I work on various generative NLP, LLM usecases, built and managing a team of MLEs, SE-ML, analysts. Actively working on training/finetuning LLMs, Inference Optimizations, LLMs Deployment, Automated Prompt Tuning pipelines, Prompt Engineering pipelines, AI team Management, AI Research-centric product enhancement initiatives, etc. Previously, I was a Data Scientist at Ola, where I worked on semantic search and entity extraction for Ola Dash/Store products, focusing on increasing conversion rates, topline, and bottomline. I also worked on demand forecasting for the rides on an hourly-locality basis for the mobility business. I applied my skills in NLP, machine learning algorithms, and time series forecasting to deliver impactful results and insights. I graduated with a Bachelor of Technology in Computer Science and Engineering, and a Minor in Management, from Indian Institute of Technology, Mandi, in 2019. During my studies, I was involved in various research projects and competitions in the domains of deep learning, biometrics, and egocentric vision. I am passionate about applying machine learning and NLP to solve real-world problems and create value for customers and businesses. I am always eager to learn new technologies and frameworks, and collaborate with diverse teams and stakeholders. I aspire to become a leader and an innovator in the field of AI / NLP, and contribute to the advancement of AI.

Experience

Level ai

2 roles

Lead MLE

Promoted

May 2025Present · 10 mos

Senior Machine Learning Engineer

Dec 2022May 2025 · 2 yrs 5 mos

  • LLMs research, finetuning, inference optimizations, preference tuning. Built and owning the AI product from scratch, hired and leading a team of MLE, analysts, engineer.
LLMs researchfinetuninginference optimizationspreference tuningteam leadershipLarge Language Models (LLM)+1

Ola

Data Scientist

Nov 2021Dec 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India

  • Worked on semantic search and entities extraction for Ola Dash/Store products using self-supervised learning, similarity learning, probabilistic sequence models, etc, focusing on increasing conversion rates, topline, bottomline.
  • Worked on Demand Forecasting for the rides on a hourly-locality basis for the mobility business.
  • Keywords : NLP, Tf-idf, Bert, Pytorch Transformers, Huggingface, Autoencoders, USE Encoders, CRFs, Spacy.
  • #nlp #semanticsearch #entityextraction #pretraining
NLPTf-idfBertPytorch TransformersHuggingfaceAutoencoders+5

Envestnet | yodlee india

Senior Software Engineer

Jul 2019Nov 2021 · 2 yrs 4 mos · Bengaluru Area, India

  • Worked as Senior Software Engineer at Envestnet Yodlee with a primary focus on automation of data aggregation pipelines which currently require human intervention using machine learning and natural language processing techniques.
  • Insert automated page classification module in the pipeline for page-specific entities extraction which further impacts actionable items to be taken on the pages.
  • Aggregate and Improve data quality using entity extraction algorithms and frameworks.
  • Provided automated bug-type identification pipeline based on natural language processing solutions mapped to specific actions to be taken accordingly.
automation of data aggregation pipelinesentity extraction algorithmsautomated bug-type identificationMachine LearningNatural Language Processing (NLP)

Siemens

2 roles

Research And Development Intern

Jul 2018Aug 2018 · 1 mo · Bengaluru Area, India

  • Visualization and Anomaly Detection (using LSTM networks) for train remote sensors using signalling and position data.
VisualizationAnomaly DetectionLSTM networksMachine LearningDeep Learning

Research And Development Intern

Dec 2017Feb 2018 · 2 mos · Bengaluru Area, India

  • Digital Assistant for automated knowledge extraction from PDFs and docx files integrated with Slack and Siemens internal communication platform.
automated knowledge extractionintegration with SlackNatural Language Processing (NLP)Machine Learning

Center for development and advanced computing(cdac)

High Performance Computing Intern

Jul 2017Aug 2017 · 1 mo · Pune Area, India

  • High Performance Computing(HPC) Internship included handson experience on CUDA and Hadoop-MapReduce Programming.

Education

Indian Institute of Technology, Mandi

Bachelor of Technology - BTech — Computer Science and Engineering

Jan 2015Jan 2019

Indian Institute of Technology, Mandi

Minor — Management

Jul 2018Jul 2019

Delhi Public School - India

Secondary Education — Science

Jan 2013Jan 2015

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