Hi, I'm

Manish Joshi

Manish Joshi!

I'm a Data Scientist at

Presight AI.

Connect to explore solutions and customized products—designed for you !

Open to work

Trusted by teams at

Microsoft
TikTok
ByteDance
Presight
Microsoft
TikTok
ByteDance
Presight
Microsoft
TikTok
ByteDance
Presight
Microsoft
TikTok
ByteDance
Presight

Key Expertise

Expert in agentic workflows & LLM function calling systems

Improved TikTok Recommendation & Notification algorithms serving millions of users

Developed scalable ML pipelines & reduced system latency

Shipped end-to-end systems at Bing scale across multiple markets

Skills

AI Agents
Recommender Systems
RAG
GraphRAG
Machine Learning
Deep Learning
Model FineTuning
Python
LLM Function Calling
NLP
Cloud Platforms
MLOps
PyTorch
Model Deployment

Awards & Achievement

Achievement Beyond Excellence Award

TikTok • 2021 • Engineering Excellence

Microsoft Patent Award

USPTO Patent • 2020 • "Visual Parsing for Annotation Extraction"

Excellence in Innovation Award

Microsoft FY2020-Q2 • "Program Synthesis for Annotations"

GATE All India Rank 28

2017 • Computer Science

Professional Journey

Data Scientist

Presight AI

Feb 2024 - Present · 1 yr 7 mos

Abu Dhabi Emirate, UAE · On-site

• Developing multiple agentic workflows for enterprise clients

• Built on-premise sandboxed code-agent & interpreter systems

• Expert in LLM function calling and autonomous agent architectures

Machine Learning Engineer

Proshort

Sep 2022 - Jul 2023 · 11 mos

Bengaluru, Karnataka, India · Hybrid

• Built scalable ML pipelines for content recommendation systems

• Optimized model inference latency and deployment strategies

Machine Learning Engineer

TikTok

Feb 2021 - Aug 2022 · 1 yr 7 mos

Singapore, Singapore · On-site

Recommendation Algo TeamPush Notifications Team

• Upgraded user-level models for TikTok Recommendation Algorithm

• Improved video filtering/boosting strategies, reducing latency significantly

• Enhanced push notification system with optimized timing strategies

• Achieved significant gains in user stay time and daily active users

Data & Applied Scientist

Microsoft

Jul 2019 - Dec 2020 · 1 yr 6 mos

Bengaluru, Karnataka, India · On-site

Microsoft Advertising Team

• Developed algorithms for web page information extraction at Bing scale

• Shipped end-to-end search ads annotation systems across multiple markets

• Built scalable data processing pipelines for search advertising

IIT Bombay

Master of Technology

IIT Bombay

Duration:2017 - 2019
Department:Computer Science & Engineering
Location:Mumbai, Maharashtra, India

Specialization

Machine LearningNatural Language ProcessingQuestion Answering SystemResearch

Published Research

"Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation"

Authors: Kumar, V., Joshi, M., Ramakrishnan, G., & Li, Y.F.

Conference: AACL-IJCNLP 2020

Achieved 6-point BLEU-4 improvement (16.38 → 22.62) in paragraph-level question generation

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