Aniruddha Mandal

Co-Founder

Bengaluru, Karnataka, India1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed world’s 15th best AI conversational model.
Created innovative AI backend for medical applications.
Led teams in high-impact AI projects across diverse industries.

Stackforce AI infers this person is a versatile AI Engineer with expertise in healthcare and SaaS applications.

Contact

Skills

Core Skills

Generative AiArtificial Intelligence (ai)Python (programming Language)Large Language Models (llm)Machine LearningNatural Language Processing (nlp)Data ScienceAmazon Web Services (aws)Computer VisionDeep LearningData Visualization

Other Skills

AWSActiveloop DeeplakeAlteryx BI + Visualization SolutionsAzure DatabricksBackendBig DataC (Programming Language)Cypher Query LanguageData AnalysisData EngineeringData LakesDjangoEngineering MathematicsFastAPIGPT-3

About

AI Engineer | LLM Architect | Problem Solver "If you can't explain it simply, you don't understand it well enough..." An AI researcher turned engineer driven by curiosity, creativity, and the pursuit of building useful, scalable systems that work in the real world. Throughout my career, I’ve had the privilege of working with startups and global teams, leading projects in LLM systems, RAG architectures, medical AI, and real-time graph-based reasoning. From creating synthetic emotional datasets and deploying production-grade AI at Vibe AI, to architecting a novel hybrid GraphRAG system at Maura.ai, I specialize in pushing ideas from whiteboard to production — fast. At night, I bring out my enigmous side of building quirky projects, whether it's a GAN that generates abstract art, or a voice assistant for HuggingFace documentation, or an open source contributor at Cognee! I’m always open to connecting with people solving hard problems in applied AI, healthtech, and product-driven research!

Experience

1 yr 11 mos

Total Experience

5 mos

Average Tenure

Current Experience

Vibe ai

Founding AI Lead

Mar 2025 – Nov 2025 · 8 mos · Bengaluru · On-site

Trained and developed the world’s 15th best AI conversational model on EQBench3.
Led and managed the research and engineering team of 3 founding engineers and psychologists.
Planned and researched 4 quantitative and qualitative benchmarks for making the model more human-like.
Developed v1 and v2 algorithms of the conversational agent and engineered the external agents.
Building the foundation behavioral model for user personalization.

Generative AIArtificial Intelligence (AI)Deep LearningBackend

Healtether health

2 roles

Senior AI Engineer

Aug 2024 – Mar 2025 · 7 mos · Remote

Created the AI backend and Hybrid RAG architecture for the doctor’s application platform that performed differential diagnoses detection and associated symptoms detection from patient data along with clinical investigations.
Developed one of India's novel disease-symptom mapping graphs in Neo4j by parsing patient records collected from 20+ hospitals.
Assisted the company to become a partner of NVIDIA Inception Program and represented at NVIDIA AI SUMMIT 2024 at Mumbai.
Led a team of 5 AI engineers to finetune the clinical model and develop the AI backend in FastAPI and Python.

Generative AIArtificial Intelligence (AI)Python (Programming Language)Amazon Web Services (AWS)

Senior AI Engineer

Mar 2024 – Aug 2024 · 5 mos · Remote

Created the AI backend and Hybrid RAG architecture for the doctor’s application platform that performed differential diagnoses detection and associated symptoms detection from patient data along with clinical investigations.
Developed one of India's novel disease-symptom mapping graphs in Neo4j by parsing patient records collected from 20+ hospitals.
Assisted the company to become a partner of NVIDIA Inception Program and represented at NVIDIA AI SUMMIT 2024 at Mumbai.
Led a team of 5 AI engineers to finetune the clinical model and develop the AI backend in FastAPI and Python.

Python (Programming Language)Generative AINeo4jAmazon Web Services (AWS)

Maura

AI Engineer

Aug 2024 – Jan 2025 · 5 mos · San Francisco, California, United States · Remote

Created and implemented a novel architecture for real time graphRAG with contextual updation using OpenAI GPT models and Neo4j for project management domain.
Integrated 10+ core functionalities of the AI like vision, and added slack API support for AI bot creation.

Python (Programming Language)Generative AINeo4jAmazon Web Services (AWS)

Gptlab.dev

Machine Learning Engineer

Oct 2023 – Dec 2023 · 2 mos · Tel Aviv District, Israel · Remote

Created LLM-based automation systems for vacation rental services on Airbnb platform

Python (Programming Language)Large Language Models (LLM)Machine LearningLangchainFastAPI

Pragyaa

Machine Learning Engineer

Aug 2023 – Oct 2023 · 2 mos · Mountain View, California, United States

Natural Language Processing (NLP)Python (Programming Language)Prompt EngineeringLarge Language Models (LLM)LangchainDjango+1

Spreetail

Data Science Intern

Apr 2023 – Jun 2023 · 2 mos · Bengaluru, Karnataka, India · Remote

Built 3 scrapers for Amazon, Nykaa and Flipkart marketplaces and created an automated pipeline to scrape reviews and ratings from different marketplaces on daily basis in DataBricks, with regular monitoring system.
Designed the backend system in Django, Python and SQL for the dashboard of product analysis and marketplaces.

Microsoft SQL ServerAzure DatabricksPython (Programming Language)DjangoStatistical Data AnalysisData Science

Omdena

2 roles

Machine Learning Engineer

Jan 2023 – Apr 2023 · 3 mos

Built Backend using FastAPI and Postgresql and used segmentation models to analyze car damage for the insurance company, MyCover.ai to understand and insure vehicles more effectively.

Computer VisionAmazon Web Services (AWS)Deep LearningBackend

Machine Learning Engineer

May 2022 – Aug 2022 · 3 mos

Led a team of 10 machine learning engineers to annotate and process over 396 images for semantic segmentation and developed a pipeline to calculate the area of the objects.
Collaborated with PositiveCarbon to reduce the carbon emission from food waste, by letting the kitchens see what they’re wasting and how to make changes to their preparation, production, and purchasing habits to reduce it.

Computer VisionData VisualizationPython (Programming Language)Deep LearningMachine LearningArtificial Intelligence (AI)+3

Faarms™

Python Intern

Jan 2023 – Apr 2023 · 3 mos · Bengaluru, Karnataka, India · On-site

Developed and built microservices using FastAPI framework and managed Postgres database.
Helped building IAM service in the system.

Python (Programming Language)PostgreSQLAmazon Web Services (AWS)pydanticSQLAlchemyalembic+2

Praxis business school

Research Intern

May 2022 – Aug 2022 · 3 mos

Analyzed the stock market data for 5 stocks and performed exploratory data analysis and feature engineering.
Designed and benchmarked 2 statistical models, 9 machine learning models, and 2 deep learning models with variants of LSTMs and finetuned hyperparameters.

Data VisualizationScikit-LearnMachine LearningArtificial Intelligence (AI)Data ScienceTensorFlow+1

Society for space education research and development (sserd)

Coder

Sep 2021 – Oct 2021 · 1 mo

Analyzed stellar parameters of Ultra-Compact X-ray Binary-OGLE-UCXB-01

Omdena

Junior ML Engineer

Jan 2021 – Apr 2021 · 3 mos

Created ML preprocessing pipeline for Ultrasound Image data using Activeloop and three different instances of semantic segmentation model using PyTorch and TensorFlow, to help the doctors in Africa use Ultrasound for detection of cancer in a low-cost approach.

Data VisualizationScikit-LearnPyTorchTensorFlowMachine Learning