Vinay Hipparge

AI Researcher

London, United Kingdom0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and Large Language Models.
Inventor of a blockchain forensics patent.
Achieved 5+ hackathon wins in AI and automation.

Stackforce AI infers this person is a Full-stack AI Engineer specializing in automation and machine learning solutions.

Contact

vinayhipparge15@gmail.com LinkedIn

Skills

Core Skills

Ai AutomationGenerative AiMachine LearningAi SystemsFull-stack Development

Other Skills

AI-driven communicationAI-driven outreachAPI interactionAWS EC2AlgorithmsAmazon Web Services (AWS)AndroidApplication Programming Interfaces (API)Artificial Intelligence (AI)Azure DevOpsBERT (Language Model)BlockchainBlockchain ForensicsCRM systemsChromadb

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Willow support services

AI Engineer

Jul 2025 – Present · 11 mos · Greater London, England, United Kingdom · Remote

Built and deployed production-grade AI outreach automation targeting 2000+ telecom companies worldwide, reaching C-level executives (CEO, CTO, COO, VP, Director, Head of Technology, etc.) via email and WhatsApp, and auto-booking meetings through Calendly and Zoom, resulting in a 4× increase in lead conversion rate.
Designed scalable AI workflow architecture using Make.com integrating LLMs (GPT-5/4), CRM systems, and cloud APIs for data synchronization, local model execution, and real-time AI-driven communication with clients.
Expanded automation to global consulting and IT enterprises including Accenture, Deloitte, EY, IBM, Wipro, TCS, Capgemini, and HCL, automating outreach, client problem discovery, and proposal generation—reducing manual sales and research time by 80%.
Developed an AI-powered recruitment automation system for Lumina Tech Group, scraping daily job posts from LinkedIn, Indeed, Glassdoor, and Google Jobs, extracting recruiter data, and conducting AI-driven outreach for hiring support to firms like Google, Microsoft, Amazon, JPMorgan, Meta and etc.
Implemented multi-channel AI conversational agents (Agentic AI) capable of responding via WhatsApp, email, and SMS using GPT-based natural language workflows, enabling human-in-the-loop engagement, and driving a 40% increase in outreach response rates and significant operational cost savings.

Generative AIAI automationGPT-5LangChainCRM systemscloud APIs+1

Abyd.in

AI & ML Developer

May 2025 – Jul 2025 · 2 mos · Jodhpur, Rajasthan, India · Remote

Developed end-to-end AI systems for trademark logo classification and similarity detection, leveraging OpenAI CLIP and Vision Transformer (ViT) architectures on datasets exceeding 300K+ images across 159 official trademark classes.
Built a scalable ML pipeline including web scraping (Selenium + Python) from the Indian Intellectual Property Portal, automated CAPTCHA handling, preprocessing, embedding generation, class balancing, and reproducible data storage.
Implemented multi-model experimentation (CLIP, ViT-L/14, B/32, BLIP, YOLO, CNNs) and designed pairwise similarity frameworks with positive/negative samples, achieving 92% classification accuracy and state-of-the-art logo similarity precision.
Engineered custom MLP classifiers and training loops with early stopping, learning rate scheduling, gradient clipping, and CUDA-optimized training for efficient GPU utilization and model stability.
Deployed interactive Gradio-based web UIs for real-time logo classification and similarity scoring, enabling global trademark verification and brand protection use cases for enterprise and government clients.

OpenAI CLIPVision Transformerweb scrapingSeleniumPythonML pipeline+2

Gigaswar technologies

AI Engineer

Mar 2025 – Jul 2025 · 4 mos · Pune, Maharashtra, India · Remote

Engineered and deployed a full-stack AI recruitment platform integrating LLMs, semantic search, and agent-based orchestration using Django, Flask, MySQL, Docker, Kubernetes, and AWS EC2, powering scalable hiring operations for 50+ client companies.
Developed autonomous Interview Bots by fine-tuning quantized Mistral (GGUF) models and orchestrating multi-step dialogues via Model Context Protocol (MCP) — conducting real-time interviews for 1000+ candidates and reducing interviewer workload by 60%.
Built a semantic JD–CV matching engine using spaCy, BERT, and ChromaDB, processing 1000+ resumes with vector embeddings, metadata extraction, and real-time ranking for high-accuracy talent matching.
Automated end-to-end recruitment workflows with LangChain, OpenAI APIs, and n8n, creating context-aware AI agents for resume screening, scheduling, and recruiter communication via Google Calendar, SendGrid, and WhatsApp Business API — cutting manual effort by 40%.
Deployed and monitored on-premise AI infrastructure with Grafana, Prometheus, and internal dashboards, hosting all components (LLMs, databases, Django APIs, n8n, ChromaDB) for secure, privacy-compliant operations and 4× performance optimization using CUDA-accelerated PyTorch pipelines.

LLMssemantic searchDjangoFlaskMySQLDocker+4