Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Timeline
Generic

PRASHANT JOSHI

Gururgam

Summary

Lead Data Scientist with 6+ years of experience developing AI-powered solutions using Large Language Models, machine learning, and conversational AI. Proven track record of building scalable systems that increase business metrics by up to 18%. Expert in open source LLMs fine-tuning, RAG implementation, and real-time AI deployment. Successfully led development of interview platforms, resume parsers, and recommendation engines serving millions of users.

Overview

7
7
years of professional experience
1
1
Certification

Work History

Lead ML Engineer

Deloitte
02.2023 - Current
  • Led cross-functional team of 8 engineers and data scientists to develop AI-powered interview platform using LLaMA 3.1 fine-tuned with LoRA and QLoRA techniques on synthetic conversational data, reducing client interview scheduling time by 60% and improving candidate experience scores by 85%. Deployed 4-bit quantized model using vLLM for real-time inference with TTFT of 6ms. Integrated Deepgram for speech-to-text and text-to-speech enabling seamless voice interaction that processes 100+ interviews daily.
  • Directed development of intelligent Resume Parser using fine-tuned LLaMA2 13B model with parameter-efficient fine-tuning achieving 91% accuracy in structured data extraction, reducing manual processing time by 75% and saving 200+ hours weekly. Mentored junior data scientists on prompt engineering and model optimization techniques.
  • Led development of Auto-Calling Engine using fine-tuned LLM for voice-based screening via Twilio and VAPI, enabling teams to screen 300% more candidates while reducing cost-per-hire by 40%. Implemented context-aware questioning system with asynchronous feedback loops improving recruiter productivity by 65%.
  • Developed Job Description to resume matching engine using embeddings and RAG architecture, increasing successful placement rates by 35% and reducing time-to-fill by 45%. Implemented semantic search with Qdrant vector database and multi-query decomposition for enhanced relevance matching.

Senior Data Scientist

PharmEasy
11.2021 - 01.2023
  • Developed a comprehensive recommendation engine platform for PharmEasy combining collaborative filtering and NLP-based matching systems, resulting in overall 18% increase in Click Through Rate and 9% increase in Add To Cart metrics across the platform through rigorous A/B testing. Built highly-scalable item-item based collaborative filtering model using Item-to-Item matrix approach that outperformed legacy systems in both coverage and business metrics. Trained word2vec on transaction data to generate most frequently bought items recommendations delivering superior user experience and cross-selling opportunities. Conducted multi-variant testing across user segments to optimize recommendation placement and ranking algorithms.
  • Developed intelligent medicine name normalization system using Siamese Network for automated product matching with PharmEasy golden master database, increasing automapping percentage by 12% and reducing manual workload on the Data Governance team by 200+ hours weekly. Implemented Natural Language Processing solution that handles product name variations, spelling errors, and brand synonyms, enabling seamless product catalog management and improving inventory accuracy by 25%.

Data Science Consultant

Accenture AI
08.2019 - 11.2021
  • Built a comprehensive talent intelligence platform using Named Entity Recognition and knowledge graph algorithms to extract skills from resumes, create skill ontologies with word2vec embeddings, and develop reskilling frameworks using Trans-E algorithms, reducing bench size by 30% and improving internal mobility by 45%.
  • Developed predictive analytics suite for workforce optimization including time series forecasting models for demand-supply-attrition gaps and employee exit analysis using clustering algorithms to identify retention drivers, enabling proactive talent planning and reducing attrition costs by 20% across service lines.

Data Scientist

EdGE Networks
01.2018 - 07.2019
  • Talent Transformation: Improved user experience through Data science to deliver compelling value in profile manager. Worked on Title Normalization to Improve quality of Search & Match product.
  • Resume Parser: NLP based model to segment different sections from the resumes. Segments include personal information, projects, skills, certifications. ~60k resumes were tagged and classifiers were trained on top of it.

Education

B.Tech - ECE

The LNM Institute of Information Technology
01.2018

Class XII - CBSE

Bikaner Boys School
01.2014

Skills

  • AI & Machine Learning: Machine Learning, Deep Learning, NLP, Conversational AI, AB-Testing
  • LLM : Open Source LLM (LLaMA 31, LLaMA 13B), Langchain, Langraph, Vector db, agentic AI, GPT-40, RAG (Retrieval-Augmented Generation), Prompt Engineering, Fine-tuning, vLLM, VectorDB, Deepgram (STT/TTS), LLM Deployments, MCP, Quantization, LoRA, QLora
  • Telephony & Voice Stack: Twilio, VAPI, Real-time Voice Pipelines
  • Workflow & Cloud: Apache Airflow, AWS Lambda, API Gateway, AWS SageMaker, CodeDeploy, AWS EC2, Docker
  • Programming : Python, Pandas, NumPy, TensorFlow, Keras, PyTorch, Hugging Face, REST APIs, WebSockets
  • Leadership and Management: Team Leadership, Cross-functional Team Management, Stakeholder Management, Mentoring

Certification

  • Machine Learning- By Coursera(Andrew ng)
  • Neural Networks and Deep Learning -DeepLearning.ai
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization -DeepLearning.ai
  • Convolutional Neural Networks -DeepLearning.ai
  • Sequence Learning(RNN,LSTM) -DeepLearning.ai

Accomplishments

  • Secured 11th rank in Brainwaves ML challenge, organised by Société Générale
  • Secured 10th rank in Incedo Machine learning challenge
  • Secured 15th rank in Club Mahindra Machine learning challenge
  • Received wizard@work award at Accenture
  • Received spot@work award at Accenture

Timeline

Lead ML Engineer

Deloitte
02.2023 - Current

Senior Data Scientist

PharmEasy
11.2021 - 01.2023

Data Science Consultant

Accenture AI
08.2019 - 11.2021

Data Scientist

EdGE Networks
01.2018 - 07.2019

Class XII - CBSE

Bikaner Boys School

B.Tech - ECE

The LNM Institute of Information Technology
PRASHANT JOSHI