Machine Learning Engineer
Abhishek Vishwakarma
Specialized in building intelligent conversational AI systems, RAG applications, and voice AI platforms using LLMs, LangChain/LangGraph, and modern ML frameworks.
About
A bit about me
I'm a Jr. Machine Learning Engineer specializing in developing production-ready AI systems, fine-tuning LLMs, building RAG applications, and creating voice AI platforms.
Currently working at Anvex AI Technologies, I architect end-to-end ML pipelines, integrate cutting-edge AI models, and build scalable backend systems for conversational AI and voice applications. My work spans from RAG-powered chatbots to real-time voice AI systems with custom TTS models.
With a B.E. in AI & Data Science (9.20 CGPA, Department Rank 1), I combine strong academic foundations with hands-on experience in PyTorch, Transformers, LangChain/LangGraph, and modern MLOps practices to deliver innovative AI solutions.
Experience
Where I've worked
Jr. Machine Learning Engineer
Anvex AI Technologies
Jul 2025 – Present · Vashi, India
- •Developed RAG-powered chatbot using Qdrant vector database, SambaNova Llama-4-Maverick-17B, and LangGraph, delivering context-aware answers across 22+ company policies
- •Built Doc2Dial automated voice platform using VAPI AI SDK and Llama-4-Maverick-17B for form-to-MCQ conversion, automated candidate calls, and evaluation report generation
- •Engineered audio processing pipeline with Sarvam AI STT and sentiment classifiers for Marathi conversations, reducing manual transcription and sentiment classification effort by 60%
- •Integrated key features for Anvex-Voice real-time voice AI system including Deepgram STT, GPT-4o-mini, RAG, and Cartesia Sonic TTS with streaming pipelines for partial response playback
- •Built a modular TTS middleware using the Factory Pattern to unify self-hosted endpoints and proprietary APIs like Sarvam, and deployed the containerized system on AWS EC2 for scalable voice generation.
- •Fine-tuned SLMs and TTS models using Unsloth on proprietary datasets for domain-specific optimization
Artificial Intelligence Intern
Eklavya.Me
Aug 2024 – Jun 2025 · Goa, India (Remote)
- •Engineered EkAIplatform using multi-agent orchestration with OpenAI GPT-4 and CrewAI, automating video creation and generating 100+ educational videos
- •Built Quiz Creator generating curriculum-aligned assessments in multiple formats (MCQ, true/false, short answer) using specialized task agents, serving 1,000+ students
- •Architected EkAIComic and CodeEkAI for automated comic strip and coding course generation using CrewAI and Stable Diffusion models
- •Researched and benchmarked 5+ text-to-image models (DALL-E, Stable Diffusion, Midjourney, Flux-Schnell) for consistent, high-quality generation
- •Containerized microservices with Docker, implemented CI/CD workflows using GitHub Actions, and authored technical documentation
Projects
Things I've built
Code Buddy (MCP Server)
Dec 2025 – PresentDeveloped open-source MCP server extending Claude Desktop with 29+ development tools for local file operations, git integration, Docker management, and HTTP requests. Architected async Python system with security layer and OpenAI API integration with real-time streaming responses.
SemanticCore
Sep 2025 – Oct 2025Built custom transformer-based sentence embedding model from scratch using 4-layer encoder architecture with 8-head attention, 256-dim embeddings, and custom BPE tokenizer (10k vocab). Trained on 50k text samples using SimCSE contrastive learning, achieving 96.6% similarity on related sentences.
AI Voice Agent Platform
Sep – Nov 2025Production-grade real-time TTS inference API with streaming capabilities for conversational AI agents. Sub-200ms latency with persistent WebSocket connections.
CodeBridge
Oct – Sep 2025AI-powered code context bridge for VS Code enabling seamless integration with AI platforms. Intelligent code chunking with 20+ language support.
InstaNews
Mar – Apr 2025Flask-based web application delivering personalized news reels using AI-powered summarization with Cohere API integration.
ContextualDoc
Jul – Aug 2024Document querying system with multi-format support for context-aware Q&A using FAISS and Google Gemini.
Skills
Technologies I work with
Languages & Databases
AI & ML Frameworks
Backend & APIs
Vector Databases
DevOps & Tools
Data Science
Education
Academic background
Bachelor of Engineering (B.E)
Artificial Intelligence And Data Science
New Horizon Institute Of Technology & Management
- •Department Topper: Ranked 1st for semesters 1-5
Senior Secondary (XII)
Science - MSBSHSE
Bhavan's College
Certifications & Achievements
Credentials
Certifications
Achievements
Fine-Tuning 24hr Challenge
Secured 1st place at LabLab AI hackathon
Department Topper
Ranked 1st for semesters 1-5
Contact
Get in touch
I'm always open to discussing new projects, creative ideas, or opportunities. Feel free to reach out.
© 2025 Abhishek Vishwakarma