Machine Learning, Deep Learning, GenAI.

Personal Porfolio

AI specialist with 3.5 years of experience applying Gen AI, RAG, ML/DL, and advanced Analytics to deliver 20+ solutions that accelerated workflows by 40\% and improved insights Precision by 35\%. Expert in deploying modern AI tools to maximize efficiency and innovation.

SHOWCASED PROJECTS >

HEART ATTACK PREDICTOR

Streamlit Cloud--deployed web app providing real-time heart attack risk predictions from {70k+} patient records. Combines ensemble ML models, explainable AI, and interactive visualizations to accelerate clinical decision-making.

KARNATAKA AQI WEATHER ANALYSER

Render-deployed Dash app providing real-time AQI \& weather forecasts for Mysore and Bangalore. Combines historical trends, 0--24 hr LSTM predictions, and interactive visualizations, with MLflow tracking and Spark-powered ETL for large-scale datasets.

INDIAN FRAUD DETECTION MODELS

Render -- deployed Interactive Bokeh dashboard for real-time fraud detection in Indian financial transactions. Uses SMOTE sampling for class imbalance, two models with high precision and recall, and one model optimized for high recall to capture potential frauds. Provides actionable insights to prevent fraudulent activities.

AGENTIQX - MULTI AGENTIC APP

Github hosted -- Modern multi-agent application for audio, video, and PDF transcription & summarization. Gradio-based system enabling dynamic analysis with RAG-powered, Faiss Pipelined, local LLM summarization, TTS, and autonomous agent interactions. Integrates embeddings, FAISS indexing, and multi-method extraction for robust understanding and knowledge retrieval.

SMART COUNSEL.AI

Streamlit Cloud–deployed application leveraging a RAG pipeline to deliver personalized career counseling. Assists users in making data-driven educational \& professional decisions, with model versioning and performance monitoring via MLflow. Trained on 5L+ synthetic documents to ensure robust recommendations and diverse scenario coverage.

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LINK

Experience

2024 - Present

Eures - Freelancer

Machine Learning Engineer Europe

Delivered 20+ global projects in advanced data analysis, ML/DL, GenAI, and LLM-powered automation, driving up to 45% efficiency gains for clients. Designed transformative visualizations and intelligent systems that accelerated decision-making and reduced manual effort.

2022-2023

Siemens Technologies PVT LTD

Data Scientist

Bengaluru

Developed ML/DL - Target Segmented models and chabots, boosting forecast accuracy by 18%. Leveraged SQL, Snowflake, and visualization tools for

AI - driven business recommendations.

Senior Data Analyst

Bengaluru

Optimized workflows with Alteryx, KNIME, VBA, SQL, and Snowflake, reducing manual effort by 30%. Built Power BI dashboards that boosted insights adoption by 25

2021-2022

Inductus Internet Ventures Pvt. Ltd.

Associate Data Analyst

Delhi

Automated reporting pipelines and dashboards using SQL, Excel, Power BI, reducing manual effort by 25%. Delivered actionable insights and analytics solutions that accelerated client decision-making and improved project turnaround times.

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Certifications

LINKS

1)Python Programming Certification
Completed offline certification in Python programming at {ABC Technologies} - Bangalore
-Covered core Python, data structures, and basic scripting

2)AI for Everyone (Andrew NG) - Coursera / deeplearning.ai

3)Machine Learning by Stanford (Andrew NG) - Coursera / deeplearning.ai

4)Deep Learning Specialization (Andrew NG) - Coursera / deeplearning.ai

5)New ML Specialization (Andrew NG) - Coursera / deeplearning.ai

6)Large Language Models on AWS - Coursera / deeplearning.ai

7)Completed 30+ mid-level courses to upskill, including Generative AI Essentials by Microsoft. - Linkedin Learning

SKILLS & EXPERTISE

PYTHON

MACHINE LEARNING

DEEP LEARNING

COMPUTER VISION

GENAI

TENSORFLOW

PYTORCH

85%

92%

90%

80%

85%

80%

CONTACT - DETAILS

For project collaborations, speaking engagements, or professional inquiries, feel free to reach out to Akash via Email or linkedin or via Contact Number .

He looks forward to discussing potential opportunities and connecting within the AI and machine learning community.