{ ai_engineer }

def solve_problems():

import * as AI from "future"

Hrishikesh Jadhav

AI Engineer & Data Scientist

Germany

Building AI Solutions

Initialize Contact

View Projects

Currently Building

SmartPromptr - AI Prompt Engineering Platform

Transform your ideas into optimized AI prompts. Helping developers become 10x more productive.

Try Beta🎯 Looking for 25 beta testers

projects.forEach(p => p.innovate())

const impact = breakthrough * scale;

~ projects.showcase()

❯ ls innovative_solutions/

Featured Projects

Breakthrough innovations in AI, machine learning, and emerging technologies that push the boundaries of what's possible.

SmartPromptr

AI Prompt Engineering Platform

🚀 Currently Building

Transform your ideas into tool-specific, optimized prompts in seconds. Built to help developers speak AI fluently and become 10x more productive.

Beta

users

40%

savings

Multiple

tools

Core Features:

Tool-specific prompt optimization
Multi-AI platform support
Instant prompt transformation
40% cost reduction through optimized prompts

Tech Stack:

AI/MLPrompt EngineeringNext.jsReactSaaS

Visit Live Site

Future Flow

AI-Powered HR Revolution

Next-generation B2B SaaS platform disrupting traditional HR processes through advanced AI automation and bias-free recruitment.

94%

accuracy

60%

reduction

efficiency

Core Features:

Intelligent resume parsing and candidate ranking
Bias detection and mitigation algorithms
Real-time interview analysis and feedback
Scalable workflow automation engine

Tech Stack:

AI/MLSaaSData AnalyticsAutomation

View Details

CryptoFlow AI

Quantum Finance Forecasting

Advanced machine learning system for cryptocurrency market prediction using high-frequency data analysis and temporal pattern recognition.

87%

accuracy

cryptocurrencies

10M+

datapoints

Core Features:

Multi-cryptocurrency prediction engine
Real-time market sentiment analysis
Advanced neural network architectures
Risk assessment and portfolio optimization

Tech Stack:

PythonLSTMGRUTime SeriesFinTech

View Details

BioLink NFC

Human-Integrated Health Tech

Revolutionary medical records management system using implantable NFC technology for seamless healthcare data access and tracking.

256-bit

security

<1s

response

99%

compatibility

Core Features:

Biocompatible NFC chip integration
Encrypted health data storage
Emergency medical access protocols
Cross-platform healthcare system integration

Tech Stack:

IoTNFCAndroidBlockchainHealthTech

View Details

More Innovations in Development

Exploring quantum computing applications, advanced neural architectures, and next-generation AI systems. Check out my GitHub for latest experiments.

Explore Repository

experience.map(role => role.impact)

while(learning) { grow(); }

~ experience.run()

❯ cat professional_journey.log

Work Experience

Professional journey building AI systems and delivering scalable solutions across diverse technology stacks.

Data Scientist

GfK - An NIQ Company

04/2022 – Present

Nuremberg, Germany

Key Achievements:

Leveraged AWS Bedrock LLMs for taxonomy augmentation, combining prompt-engineering with RegEx post-processing to automate classification at scale

Built vector-embedding-based search layers for semantic retrieval, slashing manual lookup times by 40%

Engineered a data-fusion pipeline that 'clones' TV-panel households using K-Nearest Neighbors, applying a Genetic Algorithm to select optimal subsets

Crafted 30+ features including sociodemographics, temporal slots, and program metadata for modeling

Trained and deployed a CatBoost model to predict simultaneous viewers per device-usage event, achieving 20% improvement in accuracy

Orchestrated end-to-end workflows with GitLab CI/CD, covering S3 ingestion, feature generation, model scoring, and automated integration tests

Containerized components in Docker and set up Linux-based cron scheduling for 24/7 reliability

Instituted modular code structure and logging practices to maintain production stability

AWS BedrockVector EmbeddingsCatBoostDockerGitLab CI/CD

Software Developer (Working Student)

Sapio Analytics Pvt. Ltd.

03/2022 – 10/2022

Mumbai, India

Key Achievements:

Worked on COVID-19 Decision Support System using Python and JupyterNotebook, achieving 4.8% RMSE reduction

Collaborated with global data scientists, applying scikit-learn and SciPy to optimize essential services

Developed SEIRD models with AWS Server and Plotly, aiding Government of India in lockdown and testing strategy decisions

PythonScikit-learnAWSPlotly

Ready for the Next Challenge

Always exploring cutting-edge AI technologies and seeking opportunities to build transformative solutions that shape the future.

{ skills: 'expert' }

def master_tech():

import expertise

class AIEngineer:

neural_networks.train()

async function learn() {

const mastery = await study();

while (true) { improve(); }

~ skills.display()

❯ loading expertise matrix...

Technical Arsenal

Comprehensive expertise across AI, data science, and software engineering with proficiency levels continuously optimized through real-world application.

~ programming_languages

Programming Languages

PythonRJavaC++CSQL

~ data_science_&_ml

Data Science & ML

Scikit-learnPyTorchTensorFlowPandasNumPyMatplotlib

~ cloud_&_devops

Cloud & DevOps

AWSGCPDockerGitLab CI/CDLinuxGit

~ tools_&_platforms

Tools & Platforms

JupyterPower BIPlotlyDashOracleFirebase

~ web_technologies

Web Technologies

REST APIReactNext.jsNode.jsHTML/CSSJavaScript

~ languages

Languages

English (C2)German (B1)Hindi (Native)Marathi (Native)

~ continuous_learning.status()

30+

Technologies Mastered

Years Experience

50+

Projects Completed

∞

Learning Mindset

Continuous Evolution

In the rapidly evolving landscape of AI and technology, I maintain a commitment to continuous learning and adaptation. Currently exploring advanced LLM architectures, vector databases, and multimodal AI systems while staying at the forefront of emerging technologies.

research.publish()

def innovation():

import knowledge

class Scholar:

{ impact: 'global' }

~ research.showcase()

❯ compiling research contributions...

Research & Publications

Contributing to the advancement of AI and machine learning through research and development of innovative solutions for real-world challenges.

~ featured_research.display()

Ontology Evolution in Invasion Biology Using Large Language Models: A Hybrid Approach

Author: Hrishikesh Jadhav, Tina Heger, Birgitta König-Ries, and Alsayed Algergawy

Category: AI & Knowledge Representation

Under Publication2025

Objective

We propose a hybrid approach for ontology evolution that integrates Large Language Models (LLMs)—specifically GPT-4-based pipelines—with classical ontology engineering practices. This integration aims to create dynamic, scalable, and semantically consistent ontologies suitable for representing emergent phenomena in invasion biology.

Key Contributions

Developed a core ontology (INBIO) for the invasion biology domain
Integrated GPT-4-based pipelines with classical ontology engineering practices
Extraction of concepts and relationships from hypothesis texts, scholarly abstracts, and curated domain metadata
LLM-driven pipeline with prompt-engineering and zero-shot learning for generating novel concepts
Validation of newly proposed classes by domain experts in an iterative loop

Technologies Used

Large Language ModelsGPT-4Ontology EngineeringSemantic WebKnowledge GraphsZero-shot Learning

Impact

Enabling dynamic ontology evolution to reflect current scientific knowledge in invasion biology

View Publication

All Publications

Ontology Evolution in Invasion Biology Using Large Language Models: A Hybrid Approach

Authors: Hrishikesh Jadhav, Tina Heger, Birgitta König-Ries, and Alsayed Algergawy

Journal: CEUR Workshop Proceedings - LLM-TEXT2KG 2025

• University of Passau, Germany

• Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin

• University of Jena, Germany

Under Publication2025

Large Language ModelsGPT-4Ontology EngineeringSemantic Web+2 more

AI & Knowledge Representation

View

A Deep Learning Mobile Application based Sign Language Recognition for Aphasic Person

Authors: Hrishikesh Jadhav, Pushkar Dounde, Akash Pawar, Abhishek Muthange

Journal: JETIR - Journal of Emerging Technologies and Innovative Research

• Department of Computer Engineering, Sinhgad College of Engineering, Vadgaon, Pune

2021

Pervasive sign language is used relatively within our society, deaf and other verbally challenged communication of people with hearing impairments is of prime importance in our society. This paper presents a solution for this purpose. We developed an android application which integrates both computer vision techniques involving Histogram of Oriented Gradients (HOG) as well as Machine Learning techniques such as Convolutional Neural Network (CNN) and Multiclass Support Vector Machine (SVM) to detect and recognize gestures automatically.

Image ProcessingHOGCNNMulticlass SVM+3 more

Mobile AI Applications

View PDF

Research Domains

Computer Vision

Deep learning approaches for image recognition and processing

Natural Language Processing

Large language models and text processing applications

Machine Learning

Advanced algorithms for predictive modeling and classification

~ future_research.init()

Future Research Directions

Currently exploring advanced applications of large language models, vector databases, and multimodal AI systems. Interested in collaborating on cutting-edge research in AI ethics, explainable AI, and sustainable AI technologies.

achievement.unlock()

def excellence():

import victory

class Winner:

{ rank: 1 }

~ awards.display()

❯ loading achievements database...

Awards & Recognition

Recognition for excellence in AI, machine learning, and innovative problem-solving across national and international competitions.

~ niq_gfk_hackfest_2024

GenAI

NIQ GfK HACKFEST 2024

Top 3 - Team Energy ⚡

April 2024

Placed in top 3 for Challenge #2: Generative AI Reimagining Product Experience. Developed an AI-powered learning assistant using Vector DB, LangChain, GPT-3.5, Whisper AI, and Hugging Face to enhance employee productivity and knowledge management.

Technologies Used:

Vector DBLangChainOpenAI GPT-3.5Whisper AIHugging Face Spaces

Team Members:

Maciej Jamrozy, Rita Lima, Hrishikesh Jadhav, Lisa Afundu, Deepika Sathianarayanan

~ bmw_innovation_challenge

Innovation

BMW Innovation Challenge

DocCheck Use Case

2024

Participated in 24-hour Innovation Challenge at BMW iFactory Plant Dingolfing, developing lean, green & digital solutions. Collaborated with interdisciplinary teams on the DocCheck use case, presenting innovative solutions to industry experts.

Technologies Used:

Digital SolutionsLean ManufacturingGreen Technology

Partners:

BMW GroupMicrosoftIntelNTT DataKinexon

~ ieee_ml_hackathon

Competition

IEEE ML Hackathon

1st Rank

August 2020

Secured first place in the prestigious IEEE Machine Learning Hackathon, demonstrating exceptional skills in developing innovative ML solutions.

~ hackcovid-19_winner

Hackathon

HackCovid-19 Winner

Winner among 130 teams

April 2020

Emerged victorious in the HackCovid-19 competition, developing an impactful solution during the global pandemic among 130 participating teams.

~ smart_india_hackathon_2017

Government

Smart India Hackathon 2017

WINNER - Ministry of Defense

April 2017

Won the Smart India Hackathon 2017 organized by the Ministry of Defense, Government of India, showcasing innovative technological solutions for national security.

~ performance.metrics()

Key Statistics

Major Hackathon Achievements

Consistent performance in competitive programming, AI challenges, and innovation contests

130+

Teams Competed Against

Proven ability to excel in large-scale competitions

Corporate Innovation Challenges

BMW Group and NIQ/GfK enterprise partnerships

95%

Win Rate

Exceptional success rate in competitions

~ excellence.commitment()

Commitment to Excellence

These awards represent more than just recognition—they demonstrate a consistent commitment to innovation, problem-solving, and making a meaningful impact through technology. Each achievement has contributed to my growth as an AI engineer and fueled my passion for developing solutions that address real-world challenges.

~ contact.init()

❯ establishing connection...