Saiful Haq

Co-Founder

Bengaluru, Karnataka, India6 yrs 9 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • 6.5+ years in AI and NLP research.
  • Led development of HyperAPI achieving $500K ARR.
  • Published papers in top-tier AI conferences.
Stackforce AI infers this person is a SaaS and AI Research expert with a strong focus on NLP and machine learning.

Contact

Skills

Core Skills

Ai AgentsLarge Language Models (llm)Ai/mlProduct ManagementResearchModel DevelopmentNatural Language Processing (nlp)Ai ResearchData ScienceMachine Learning

Other Skills

Sales DemosPublicationModel TrainingPrompt EngineeringSoftware DevelopmentPython (Programming Language)PyTorchUnit testingGoogle Cloud Platform (GCP)Google Kubernetes Engine (GKE)Microsoft AzureComputer VisionDeep LearningMLOpsFinetuning

About

Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=EiZxSoMAAAAJ Saiful is a Founder at a Stealth Startup. Previously, he served as Director of AI & Staff Research Engineer at Hyperbots Inc. He is also pursuing a PhD in Natural Language Processing from the Computer Science Department, IIT Bombay. At Hyperbots, his work spanned multimodal content understanding, instruction fine-tuning of LLMs and Vision Language Models, Retrieval Augmented Generation, and AI Agents — contributing to the foundational architecture of the company's core products including HyperAPI. Prior to Hyperbots, he worked as a Senior Data Scientist at Eaton India Innovation Center, Pune, developing data science solutions across Digital Strategy initiatives in Data Centers, Factories, and Surveillance Systems in the context of Industry 4.0. The right mix of Technical and Agile skills, also acted as a Scrum Master for the Team. *6.5+ years of experience in the industry and 6+ years of academic research (M.Tech + PhD) in the areas of Large Language Models, Vision language models, AI Agents, RAG, Prompt Optimisation, Deep Learning, Machine Learning, NLP, Computer Vision, Mathematical Modelling, Optimisation, Digital Image Processing, Time series processing, Bayesian networks, and Dynamical models like Kalman, and Particle Filters. *Delivered end-to-end solutions within strict timelines involving the complete innovation cycle of ideation, research, development, and testing of software products. *Rich experience in technical presentations. *Papers in ICLR, Neurips, AAAI, WACV, ACL, EMNLP (A* Conferences). *Filed 5 Patents (2 are granted and 3 are in review).

Experience

6 yrs 9 mos
Total Experience
3 yrs 3 mos
Average Tenure
2 mos
Current Experience

Stealth

Founder

Mar 2026Present · 2 mos · Bengaluru · On-site

AI AgentsLarge Language Models (LLM)

Hyperbots inc.

4 roles

Director of AI, Product & Engineering (HyperAPI)

Jan 2026Mar 2026 · 2 mos · On-site

  • Led AI, Product & Engineering, HyperAPI
  • Website: https://apis.hyperbots.com/
  • Led a cross-functional team of AI/ML researchers, software engineers, and sales & marketing professionals to build HyperAPI from 0 to $500K ARR; drove growth through customer-facing sales demos and internal hackathons.

Director of Artificial Intelligence and Staff Research Engineer

Promoted

Aug 2025Mar 2026 · 7 mos · On-site

  • Led research and development of a family of LLM and OCR models:
  • 1. HyperLM-lite, HyperLM-medium, HyperLM-pro
  • 2. HyperOCR-big, HyperOCR-small
  • Published papers at top tier venues including WACV and AAAI.

Lead AI/ML Research Engineer, Founding team

Oct 2024Aug 2025 · 10 mos · On-site

  • Spearheaded research and development of in-house LLM and VLM for multimodal content understanding.
  • Implemented cutting-edge AI technologies like AI Copilots (also called AI Agents) and Recommendation Engine.
  • Performed Instruction Fine-tuning, Prompt optimisation and Retrieval Augmented Generation.
  • Optimised deployment using Google Cloud platform and Kubernetes Engine.
Large Language Models (LLM)Model TrainingAI AgentsPrompt EngineeringSoftware DevelopmentPython (Programming Language)+4

AI/ML Research Engineer, Founding Team

Oct 2023Oct 2024 · 1 yr · On-site

Large Language Models (LLM)AI AgentsGoogle Kubernetes Engine (GKE)Prompt Engineering

Computation for indian language technology (cfilt) lab

Researcher

Apr 2022Oct 2023 · 1 yr 6 mos · Mumbai, Maharashtra, India

  • Lab Website: https://www.cfilt.iitb.ac.in/
  • Coordinator: Prof. Pushpak Bhattacharya (http://www.cse.iitb.ac.in/~pb/)
  • Center for Indian Language Technology (CFILT) was set up with a generous grant from the Department of Information Technology (DIT), Ministry of Communication and Information Technology, Government of India in 2000 at the Department of Computer Science and Engineering, IIT Bombay. Deep semantics and multilinguality has throughout played a pivotal role in the activities of CFILT. The stress on semantics has led to research in the following fronts:
  • 1. Lexical Resources: Multilingual wordnets and ontologies and their linking
  • 2. Lexical and Structural Disambiguation: Resolve word and attachment ambiguities
  • 3. Shallow Parsing: Identifying correct parts of speech, named entities and non-recursive noun phrases for Marathi and Hindi
  • 4. Cross Lingual Information Retrieval: Indian language query to English and Hindi Retrieval
  • 5. Machine Translation: Automatic translation involving Marathi, Hindi and English
  • 6. Text Entailment: Testing if a piece text (hypothesis) is inferable from another (text)
  • 7. Sentiment Analysis: Detecting polarity- positive/negative/neutral- of a given document, especially reviews
  • 8. Cognitive NLP: Study of cognitive aspects of language processing and understanding using eye-tracking
PyTorchPrompt EngineeringLarge Language Models (LLM)Natural Language Processing (NLP)AI Research

Eaton

2 roles

Senior Data Scientist

Promoted

Feb 2022Oct 2023 · 1 yr 8 mos

  • 1. Data Centers Energy Management (Jan 2020 - Present):
  • Technical Lead
  • Filed 3 Patents
  • Root Cause Analysis of Failures inside Data Centers (In Progress)
  • LSTM Based Model for Unsupervised Anomaly Detection on Time Series Data:
  • Achieved Detection rate >95% and less than 3 false alarms per month.
  • Co-estimation of Lithium Ion Cell Core Temperature and Internal Resistance
  • Achieved an RMSE of less than 1 degree Fahrenheit on NASA Dataset.
  • Binary Particle Swarm Optimization Algorithm for Peak shaving and Load shifting:
  • Achieved 33% Reduction in Energy cost on Synthetic data.
  • Mixed-integer Linear Programming based Algorithm for Peak shaving and Load shifting:
  • Achieved 33% Reduction in Energy cost on Synthetic data.
  • 2. Video Analytics (May 2021 - Feb 2022):
  • Technical Lead
  • Filed 2 Patents
  • Personal Fall Detection Algorithm:
  • Multi-Person Pose Classification into fallen, sitting, standing and bending, Multi-Person Tracking
  • Achieved an F1 Score of 0.8 with a latency of 50 millisecond/frame on Live Video.
  • Object Classification:
  • Traditional Object Classification using Noisy Data
  • Achieved an F1 Score of 0.9 with a latency of 60 millisecond/frame on Live Video.
Python (Programming Language)Microsoft AzureComputer VisionDeep LearningPyTorchNatural Language Processing (NLP)+3

Data Scientist

Aug 2019Feb 2022 · 2 yrs 6 mos

PyTorch

Saeindia

Team Member

Dec 2015Mar 2016 · 3 mos

  • Designed modules for electronic innovations in the vehicle, which include 3-Mode Drive, Regenerative Braking, Parking system, Speed control over sharp turns, Automatic Fire Extinguisher, Keypad Steering Lock, Smart Indicators and Smart Front Lights.

Education

Indian Institute of Technology, Bombay

Doctor's Degree — Computer Science

Jan 2022Jan 2026

Indian Institute of Technology, Kharagpur

M.tech — Control Systems Engineering

Jan 2017Jan 2019

Institute of Engineering and Technology

Bachelor of Technology - BTech

Jan 2013Jan 2017

Central Board of Secondary Education

Class 12th

Jan 2013Present

Central Board of Secondary Education

Class 10th

Jan 2011Present

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