Hithesh M R

Data Scientist

Bengaluru, Karnataka, India4 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Published researcher in IEEE conferences.
  • Expertise in Generative AI and ML pipeline development.
  • Strong leadership experience as Placement Coordinator.
Stackforce AI infers this person is a Data Scientist with expertise in AI/ML, focusing on Fintech and Transportation sectors.

Contact

Skills

Core Skills

Data ScienceSupply Chain OptimizationData ModelingGenerative AiLeadershipMentoringMachine LearningNatural Language Processing (nlp)Mechanical EngineeringDeep LearningComputer Vision

Other Skills

Python (Programming Language)ModelingAnalyticsGeospatial DataTraffic AnalysisLarge Language Models (LLM)OpenAI APIRetrieval-Augmented Generation (RAG)Postman APIjira apiESRIArcMapMapboxLeafletDocument Retrieval

About

πŸ” Data Scientist | AI/ML Researcher | LLM | AI Agents | Agentic AI Data Scientist specializing in GenAI, LLM Agents, and Agentic AI, with expertise in Retrieval-Augmented Generation (RAG), and Knowledge Graphs. Proficient in Python, SQL, and cloud platforms (AWS, Azure). Experienced in AI-driven decision-making, vector search, and building scalable data-driven solutions. Published researcher in IEEE conferences at CONIT 2024. Passionate about leveraging GenAI to automate workflows and enhance business intelligence, with a strong track record in end-to-end ML pipeline development. πŸŽ“ M.Tech in Computational & Data Science from NIT Karnataka (CGPA: 8.43), with expertise in AI/ML, Deep Learning, and Big Data Analytics. Passionate about leveraging data-driven insights to solve real-world challenges. πŸ”¬ Researcher in Medical Image Processing, working on Mammogram Tumor Segmentation under Dr. Vishwanath K P. Published in IEEE CONIT 2024 (SCOPUS, WOS, Elsevier indexed). πŸ’‘ Projects & Experience: - Retrieval-Augmented Generation (RAG), NLP, and Vector Search for intelligent document querying. - Deep CNN-based Leukemia Detection using OpenCV, TensorFlow, and Keras. - ML Intern at NeuroNexus Innovations, contributing to NLP-based Movie Genre Classification & Credit Card Fraud Detection. - Intern at CoreEL Technologies, developing deep learning-based number plate recognition systems. πŸ“š Technical Expertise: Python, SQL, PySpark, PostgreSQL, OpenCV, TensorFlow, LLMs, AWS (Redshift, S3, Lambda, Glue, QuickSight), LangChain, Git, MATLAB, C++. πŸ… Certifications: Apache Hadoop Developer (IBM) – Hadoop, Hive, MapReduce, Spark, Big Data Analytics. Machine Learning & MATLAB Onramp (MathWorks). πŸ’Ό Leadership & Achievements: Placement Coordinator at NITK, mentoring juniors and managing recruitment activities. Published research in AI applications for smart cities, supply chains, and healthcare. πŸš€ Driven by curiosity and innovation, I thrive on challenges that push the boundaries of data science and AI. Always open to collaborations, research opportunities, and roles in Data Science & Machine Learning. πŸ“© Let’s connect and explore opportunities!

Experience

4 yrs 8 mos
Total Experience
1 yr 4 mos
Average Tenure
7 mos
Current Experience

4flow

Data Scientist

Nov 2025 – Present Β· 7 mos Β· Bengaluru, Karnataka, India Β· Hybrid

Python (Programming Language)Data ScienceSupply Chain Optimization

Gramener

Associate Data Scientist - AI Engineer

Sep 2024 – Nov 2025 Β· 1 yr 2 mos Β· Bengaluru, Karnataka, India Β· Hybrid

  • PGIM Dealio β€” SEC EDGAR Analytics Platform
  • Built FastAPI endpoints and Pydantic schemas to expose SEC filings, processing pipelines, and derived analytics (HFA, CAP, COMP)
  • Architected a cache-first ingestion system with normalization logic, quarter/year rollover handling, and support for JSON/CSV exports
  • Integrated Azure OpenAI to map metrics (e.g. AQRR), manage prompt workflows, and cache results for performance
  • Developed Azure Functions for background tasks and scheduled jobs, including secure authentication and logging to Blob/Table Storage
  • Delivered a lightweight JavaScript + Tailwind CSS UI, and generated PDF/Word reports using ReportLab, PyMuPDF, Jinja2
  • Malaysia Traffic Flow Visualization (Penang Island POC)
  • Created predictive models to forecast traffic speeds and delays using historical data
  • Processed and visualized geospatial data with Turf.js, Mapbox GL JS, and ArcGIS
  • Built a Flask backend to serve data via APIs to the front end
  • Enabled interactive map dashboards to display traffic flow and predictions in real time
  • RAG Framework for Financial Document Querying
  • Implemented vector search storage of embeddings (3072-dimensional) using pgvector + PostgreSQL
  • Designed and evaluated fusion ranking methods (RRF, LCRF, CombSUM) to boost retrieval accuracy
  • Built APIs for ingestion, embedding, and document query workflows
  • Supported deployment across cloud platforms (Azure, AWS) and integration into developer tooling (e.g. VS Code)
Data ModelingModelingAnalyticsGeospatial DataTraffic AnalysisLarge Language Models (LLM)+29

Neuronexus innovations

Machine Learning Intern

Nov 2023 – Dec 2023 Β· 1 mo Β· Remote

  • Projects and Responsibities
  • 1. Developed a Movie Genre Classification model on IMDB dataset using Machine Learning algorithms Naive
  • Bayes, Support Vector Machine, Logistic Regression, and RandomForest.
  • 2. Developed a Credit Card Fraud Detection model using algorithms Decision Tree, RandomForest, Fully
  • Connected Deep Neural Network.
Natural Language Processing (NLP)OpenCVTensorFlowGenerative Neural NetworksArtificial Intelligence (AI)Data Classification+6

National institute of technology karnataka

Placement Coordinator

Jun 2023 – May 2024 Β· 11 mos Β· Mangaluru, Karnataka, India Β· On-site

  • Responsibilities
  • 1. Conducting company recruitment drives in the institute.
  • 2. Organized placement efforts for my peers.
  • 3. Mentoring my peers and juniors.
  • 4. Demonstrating strong leadership and coordination skills.
LeadershipCampus PlacementMentoringCommunicationPublic SpeakingTeam Coordination

Coreel technologies

Machine Learning Intern

May 2020 – Jun 2020 Β· 1 mo Β· Bengaluru, Karnataka, India Β· Remote

  • Responsibilities
  • 1. Developed a Deep Learning Model for Number Plate Detection using Deep Neural Network model using MATLAB
  • 2. Key understanding of Colored and Grey Scale Images for Matrix computation in MATLAB
  • 3. Certified in Machine Learning Onramp by MathWorks
  • 4. Certified in MATLAB Onramp by MathWorks
Deep LearningComputer VisionMATLABImage ProcessingProblem SolvingTeamwork+2

Force ikshvaku racing

Steering System Engineer

Aug 2019 – Aug 2021 Β· 2 yrs Β· Mysore, Karnataka, India

  • Responsibilities
  • 1. Design and Fabrication of Steering Mechanism for Formula Bharat Vehicle
  • 2. Optimization of Steering rack and pinion mechanism using Ansys Workbench
  • 3. Design iteration with SolidWorks
  • 4. Design and Optimization of Steering Wheel in 3D printed Carbon Composite material
Steering MechanicsTeamworkAutodesk Fusion 360CommunicationANSYS WorkbenchSOLIDWORKS+1

Education

National Institute of Technology Karnataka

M. Tech | Computational and Data Science β€” Mathematics and Computer Science

Jan 2022 – Jan 2024

The National Institute Of Engineering, Mysore

Bachelor of Engineering - BE β€” Mechanical Engineering

Aug 2017 – Aug 2021

Jawahar Navodaya Vidyalaya - JNV

Jun 2013 – Jul 2017

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