Atharva Vankhede

Machine Learning Engineer

Pune, Maharashtra, India6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered advanced AI systems with measurable impact.
Expert in deploying scalable AI solutions using cutting-edge technologies.
Proven track record in machine learning and computer vision.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions for real-world applications.

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Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Computer Vision

Other Skills

WhisperXTTSCrewAIGoogle ADKRAGElevenLabs TTSPyTorchcomputer vision frameworksFastAPIMLflowHelm ChartsKubernetesMicrosoft AzureContinuous Integration and Continuous Delivery (CI/CD)GitHub

About

Machine Learning Engineer with hands-on experience designing and deploying AI systems that integrate large language models, computer vision, and retrieval-augmented generation (RAG). My work includes fine-tuning LLMs , building scalable RAG-based GenAI assistants, and developing high-accuracy YOLO-based CV models (95%+ precision). I’ve deployed applications end-to-end using PyTorch, Hugging Face, Streamlit, Docker I thrive in building real-world AI systems with measurable impact. Whether it’s extracting insights from documents, building emotional support chatbots, or classifying satellite images using CLIP — I prioritize quality, explainability, and user experience. Core Competencies: LLMs, RAG, Generative AI, NLP, Computer Vision, YOLO, Transformers, PyTorch, Streamlit, Hugging Face, Google Cloud, Docker

Experience

6 mos

Total Experience

6 mos

Average Tenure

Current Experience

Pixaflip technologies

AI/ML Engineer

Aug 2025 – Mar 2026 · 7 mos · Pune City, Maharashtra, India

Engineered a two-stage personalised speech restoration pipeline — fine-tuned Whisper on domain-specific impaired speech for accurate STT transcription mapping, then synthesised natural output via XTTS voice cloning, restoring intelligible speech near-identical to the user's original voice.
Architected a 3-agent CrewAI multi-agent orchestration system for autonomous meeting intelligence: Transcript Agent, Summarisation Agent, and Blocker-Analysis Agent — generating strategic breakthrough suggestions for discussed blockers and eliminating manual post-meeting documentation.
Built a Google ADK multi-agent pipeline for automated curriculum-to-web content generation — ingested drag-and-drop files, applied structured prompt engineering for HTML/CSS generation, and enforced design consistency across new and legacy component libraries.
Deployed a production real-time Marathi conversational AI agent integrating ElevenLabs TTS with a RAG pipeline for dynamic multi-turn voice conversations, with automated LLM-based lead data extraction (Name, Area) into structured CSV for downstream pipeline ingestion.

WhisperXTTSCrewAIGoogle ADKRAGElevenLabs TTS+2

Valuevertex solutions

Computer Vision Intern

Nov 2024 – Feb 2025 · 3 mos · Bengaluru, Karnataka, India · Remote

Successfully completed an internship in artificial intelligence and machine learning, with a focus on designing and implementing machine learning models for real-world applications. Demonstrated proficiency in tools and techniques such as PyTorch, computer vision frameworks, and model optimization. Delivered measurable improvements in system accuracy and efficiency, and collaborated with cross-functional teams to deploy scalable AI solutions.

PyTorchcomputer vision frameworksComputer Vision