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Trashu Vashisth's avatar
Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
14
Followers
Building Production-Grade AI Agents & RAG Systems
Cover image for Developed a high-precision Resume Parser using a
Developed a high-precision Resume Parser using a custom-trained RoBERTa model, specifically fine-tuned for Named Entity Recognition (NER) tasks. This tool automates the extraction of critical information from unstructured resumes with deep learning accuracy. Key Features: NER-Based Extraction: Accurately identifies entities like Name, Experience, Skills, Education, and Contact Info. RoBERTa Architecture: Leverages Transformer-based embeddings for superior contextual understanding compared to traditional parsers. JSON Output: Seamlessly converts complex resume layouts into structured JSON format for easy database integration and ATS (Applicant Tracking System) workflows. High Accuracy: Trained to handle diverse formatting and professional jargon.
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Cover image for The Problem: Sales teams waste 60%
The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B  for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
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Cover image for I built a professional, end-to-end
I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously. Key Contributions: Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm"). Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention. High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database. Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule. The Result: A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle. Tech Stack: Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS
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Cover image for An autonomous AI system that
An autonomous AI system that turns a simple voice command into a deep-dive research report in seconds. No typing, no manual searching. Key Highlights: Voice Control: Uses Speech-to-Text for hands-free research triggers. Multi-Agent Intelligence: Powered by CrewAI & Llama 3.3 (Groq) to find, verify, and summarize live web data. Voice Synthesis: Delivers an instant audio summary via ElevenLabs. Automated Export: Generates a professional PDF report automatically. Tech Stack: CrewAI, Groq, ElevenLabs, Streamlit, DuckDuckGo API.
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RoBERTa(1)
Mansi Gaikwad's avatar
Mansi Gaikwad
Pune, India
Web Developer | Responsive Design & UI/UX Specialist
New to Contra
Web Developer | Responsive Design & UI/UX Specialist
Cover image for Project Title: Sentix AI: Global
Project Title: Sentix AI: Global Sentiment Intelligence Results & Impact: 1. Achieved a 92% F1-score by implementing domain-specific fine-tuning on diverse consumer datasets, ensuring high reliability in classification. 2. Engineered an Aspect-Based Sentiment Analysis (ABSA) module that decomposed reviews into granular attributes (performance, pricing, reliability), making trend tracking 15% more precise. 3. Optimized inference performance by 25% through model distillation and Docker-based containerization, enabling the system to handle thousands of concurrent requests. 4. Mitigated data bias by designing a robust pre-processing workflow including lemmatization and custom noise reduction, critical for handling global marketplace jargon.
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Cover image for End-to-End Strategic Framework: Developed a
End-to-End Strategic Framework: Developed a comprehensive 7-step social media game plan, transitioning from high-level SMART goal setting to granular weekly content execution. Data-Driven Audience Architecture: Engineered detailed consumer personas and competitor platform analyses to ensure content is tailored to specific demographic pain points and preferred communication modes. Balanced Content Ecosystem: Implemented a strategic 40/30/20/10 content mix—prioritizing education and inspiration—to build community trust while maintaining consistent promotional growth. Performance-Focused Iteration: Established a rigorous KPI tracking system (Awareness, Engagement, Conversions) alongside a "Lessons Learned" feedback loop to continuously optimize platform ROI.
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Cover image for Conversion-Centric Ad Creative: A minimalist,
Conversion-Centric Ad Creative: A minimalist, high-fidelity marketing asset designed for the premium kitchenware and gifting niche. Engagement Focused: Specifically built to drive "saves" and "clicks" by framing a functional household item as a transformative "aesthetic essential." Strategic Detail Integration: Combines beautiful lifestyle photography with a direct-to-retail CTA to reduce buyer friction and maximize ROI for e-commerce brands. Results Oriented: Features a functional footer link optimized for social commerce, designed to bridge the gap between aspirational browsing and direct purchase.
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Cover image for Social Proof Marketing Creative: A
Social Proof Marketing Creative: A high-conversion template designed for the e-commerce home decor and furniture industry. Engagement Focused: Built around the "Bought & Loved" narrative to drive organic saves and click-through rates (CTR) among decor-conscious audiences. Utility Highlights: Expertly displays product versatility through multi-view imagery, answering technical consumer questions through visual evidence. Results-Oriented Design: Optimized with a direct CTA to bridge the gap between aspirational browsing and direct e-commerce retail.
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RoBERTa(1)
Matteo Caprio 's avatar
Matteo Caprio
Rome, Italy
Economist and Marketeer with a passion for business strategy
Economist and Marketeer with a passion for business strategy
Cover image for ISE Omnichannel experiences analysis and implementation
ISE Omnichannel experiences analysis and implementation
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Cover image for Colnago Innovation Project
Colnago Innovation Project
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Cover image for Liberia palm oil industry
Liberia palm oil industry
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Cover image for AW Lab Brand Audit
AW Lab Brand Audit
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RoBERTa(1)