Akash Dhara

AI Researcher

Bengaluru, Karnataka, India4 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Built AI pipelines reducing manual effort by 70%.
Increased search CTR by 15% through keyword prediction.
Expert in NLP and generative AI solutions.

Stackforce AI infers this person is a Data Scientist specializing in AI solutions for E-commerce and B2B sales.

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Skills

Core Skills

Generative AiNatural Language Processing (nlp)Image RecognitionOptical Character Recognition (ocr)Data AnalysisBusiness Insights

Other Skills

PythonOpenCVHugging FaceScikit-learnPandasFaissChromaDBPILTesseract OCRCuPyNumPyJupyter NotebookMatplotlibSeabornContinuous Integration and Continuous Delivery (CI/CD)

About

Data Scientist with 3+ years of experience in building AI-powered solutions across NLP, image recognition, and generative AI. I specialize in developing end-to-end data pipelines, deploying deep learning models, and leveraging large language models (LLMs) like LLaMA 3.0 for scalable NLP applications. My recent work includes automating product descriptions using Generative AI + RAG, implementing vector databases (ChromaDB) for fast semantic search, and optimizing keyword prediction models that boosted visibility by over 30%. Skilled in Python, SQL, Pandas, Scikit-learn, TensorFlow, and PyTorch, I’ve built OCR solutions, deployed GPU-accelerated workflows with CUDA, and contributed to business impact in B2B sales, e-commerce, and document digitization. Always curious, I enjoy turning complex data into actionable insights and continuously explore new ways to push the boundaries of AI, NLP, and computer vision.

Experience

4 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 8 mos

Current Experience

Tradeindia.com - infocom network private limited

AI Engineer

Sep 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Built & deployed a Generative AI pipeline using LLaMA 3.0 + RAG to auto-generate product descriptions from images, reducing manual effort by 70%.
Integrated vector search (ChromaDB) to retrieve semantically relevant metadata, improving context accuracy by 35%.
Designed image/text embedding storage for scalable, low-latency search in AI workflows.
Built regression models to predict high-impact keywords, increasing search CTR by 15%.
Tools: Python, OpenCV, Hugging Face, Scikit-learn, Pandas, Faiss, ChromaDB

PythonOpenCVHugging FaceScikit-learnPandasFaiss+3

Wipro

Project Engineer

Oct 2021 – Apr 2023 · 1 yr 6 mos · Banglore · Hybrid

Developed image recognition pipelines using OpenCV & PIL for classification of product images.
Built an OCR solution with Tesseract + preprocessing, digitizing documents at scale.
Leveraged CUDA to accelerate image processing, reducing training time significantly.
Tools: Python, PIL, Tesseract OCR, OpenCV, CuPy, NumPy, Scikit-learn

PythonPILTesseract OCROpenCVCuPyNumPy+3

Defineeye infosystem

Data Scientist

Apr 2020 – Sep 2021 · 1 yr 5 mos · Banglore · Hybrid

Conducted EDA on B2B sales data to extract trends and insights for strategy planning.
Created dashboards and reports using Matplotlib, Seaborn for sales and behavior analysis.
Performed customer segmentation, cohort analysis, and time-series forecasting.
Tools: Pandas, NumPy, Jupyter Notebook, Matplotlib, Seaborn

PandasNumPyJupyter NotebookMatplotlibSeabornData Analysis+1