Amith Vardhan Reddy Surasani
Professional Summary
Data Scientist with 2 years of experience building multilingual NLP pipelines, recommendation systems, and generative-AI user experiences. Proficient in Python-based data engineering and ML workflows using scikit-learn and TensorFlow, with hands-on experience fine-tuning LLMs such as Llama 3 and integrating GPT-4o-mini for context-aware responses. Delivered a news-aggregation and processing pipeline that ingested 10,000+ articles and a personalization engine serving 9,800+ users; implemented semantic retrieval using SentenceTransformers and vector databases to enable RAG-driven responses. Built production-ready APIs with FastAPI and user interfaces with React, and automated meeting transcription and summarization using CrewAI agents and OpenAI Whisper. Experienced across news/consumer content, meeting automation, fraud modeling, and medical imaging, taking end-to-end ownership from data ingestion to deployed model inference.
Technical Skills
Work Experience
- Engineered a multilingual news aggregation pipeline using BeautifulSoup and Selenium to scrape English, Telugu, and Hindi sites, extracting and processing 10,000+ articles across multiple categories.
- Developed content-processing workflows leveraging Llama 3 and the Groq API to generate article summaries and cross-language translations; fine-tuned models on curated article datasets to improve relevance.
- Built a personalized recommendation engine in Python with collaborative and content-based filtering implemented via scikit-learn, delivering tailored suggestions to 9,800+ users.
- Designed and deployed a FastAPI backend integrated with GPT-4o-mini to provide context-aware chatbot responses, adding conversational memory and session logging for continuity.
- Implemented semantic retrieval using SentenceTransformers and cosine-similarity with a vector database to enable retrieval-augmented generation and automated evaluation of response quality.
- Integrated Newsdata.io and Inshorts APIs to automate article ingestion and metadata normalization, ensuring daily content freshness and consistent category mapping.
- Delivered a React-based front end for the chatbot enabling real-time interactions and session persistence for user-facing conversations.
Projects
- Architected an agentic meeting-minutes automation pipeline using CrewAI agents and custom flows to orchestrate transcription, summarization, and action-item extraction.
- Implemented end-to-end transcription and summarization using OpenAI Whisper and multi-agent orchestration to convert meeting audio into concise summaries and sentiment signals.
- Integrated Gmail API with OAuth 2.0 to automate generation and delivery of meeting-minute drafts to attendees.
- Persisted transcripts and metadata to MongoDB to enable retrieval, incremental summarization, and semantic search for follow-up workflows.
- Performed exploratory data analysis and preprocessing on the European cardholders transaction dataset using Python and Pandas to identify feature distributions and outliers.
- Exported cleaned datasets to MySQL and implemented feature scaling to prepare data for modeling and reproducibility.
- Trained and evaluated Logistic Regression, Linear Discriminant Analysis, and Gaussian Naive Bayes models using scikit-learn, comparing accuracy, precision, recall, and F1-score.
- Achieved 95.37% classification accuracy with Logistic Regression after iterative feature selection and model calibration, and compared model trade-offs to select the production candidate.
- Developed a CNN-based classifier in TensorFlow to detect brain tumors from MRI images, implementing image preprocessing and normalization to improve training stability.
- Tuned hyperparameters including learning rate, batch size, and epochs and adjusted the train-test split, improving validation accuracy from ~45–60% to approximately 75%.
- Evaluated model performance using classification metrics and prepared model artifacts for further experimentation and potential deployment.
Education
Certifications
Achievements
- Top 50 - IEEE Computer Society Programming League — 2020
- Top 50 - MVSR Programming League — 2020
- 2nd Verbal Mention Award - MVSR MUN
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