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Open to full-time roles and freelance AI projects
Vikas Mishra
Associate Software Engineer | AI Engineer | Android Developer
Building AI-powered Android applications, edge AI systems, and production-grade GenAI pipelines.
AI Engineer
Edge Ready
Vikas Mishra
AI, Android, and Edge AI systems
RAGNPUAndroid
About
Engineering production AI where mobile performance matters
A focused software engineer building the connective tissue between GenAI systems, Android products, and offline edge inference.
Vikas Mishra is an Associate Software Engineer at Tech Mahindra - Makers Lab (R&D), working across Android development, LLMs, GenAI, Retrieval-Augmented Generation, agentic frameworks, on-device AI inference, and Qualcomm NPU optimization. His work spans large-scale data processing, model evaluation, production Android engineering, and optimized edge deployment.
He has delivered solutions in collaboration with Qualcomm and NVIDIA, with work showcased at India AI Summit, IMC, and Qualcomm Auto Day. His engineering focus is clear: scalable AI systems, offline-first experiences, reliable mobile architecture, and low-latency edge AI applications.
R&D Focus
AI systems, Android intelligence, edge deployment
Showcases
India AI Summit, IMC, Qualcomm Auto Day
Collaborations
Qualcomm and NVIDIA
Strength
Scalable, offline-first AI applications
Skills
A practical stack for GenAI, Android, and edge inference
Organized around the systems Vikas builds: intelligent mobile applications, RAG workflows, optimized models, and clean Android architecture.
AI / ML
LLMsGenAIRAGAgentic FrameworksTensorFlowPyTorchAIMETINT8 Quantization
Edge AI
On-device InferenceQualcomm NPULow-latency AIOffline AI Apps
Android
Jetpack ComposeMVVMStateFlowLiveDataRoomWorkManager
Tools
GitFirebaseAndroid StudioOllamaPostman
Experience
R&D work shaped around high-visibility AI products
Timeline-style experience across educational LLMs, real-time edge fraud detection, automotive assistants, and Android performance engineering.
Tech Mahindra - Makers Lab (R&D)
Associate Software Engineer
March 2024 - Present
Indus - Educational LLM
Showcased at India AI Summit 2026- Built scalable data pipelines for large-scale corpus ingestion, cleaning, and preprocessing.
- Developed evaluation and benchmarking systems to compare model variants across accuracy and response quality.
- Contributed to dataset curation, model selection, fine-tuning strategy, and training/inference integration.
Fraud Call Detection - Edge AI
Showcased at IMC with Qualcomm- Designed real-time fraud call detection on Android for live voice calls.
- Built audio stream processing and streaming speech-to-text inference for near real-time transcription.
- Optimized INT8 models with AIMET for low-latency execution on Qualcomm NPUs.
AutoVaani - Automotive AI Assistant
Showcased at Qualcomm Auto Day- Built an offline, voice-enabled automotive assistant experience.
- Designed speech-to-intent flows that convert voice input into actionable in-vehicle commands.
- Delivered low-latency on-device AI inference for resource-constrained automotive environments.
Darpan Application
Showcased at India AI Summit 2026- Resolved critical memory leaks, ANRs, and concurrency issues for large-scale demonstrations.
- Improved runtime performance through profiling, system-level debugging, and targeted optimizations.
- Implemented MVVM, StateFlow, and modular design for scalable state management.
Featured Project
GenAI RAG Chatbot built for relevant, fast AI answers
A production-minded retrieval system combining dense vector search, prompt design, API orchestration, and real-time response UX.
Retrieval-Augmented Generation
GenAI RAG Chatbot
A polished AI assistant architecture that retrieves context with semantic search, ranks relevant chunks through Top-K retrieval, and composes grounded prompts for real-time Groq-powered responses.
Semantic searchDense embeddingsTop-K retrievalGroq API integrationPrompt engineeringReal-time AI responses
Recognition
Achievements and certifications
Milestones that reflect technical depth, team execution, and consistent ownership.
Microsoft Certified: Azure Data Scientist Associate
Best Team Award (2x)
Pat on the Back Award - Technical Excellence
Education
B.Tech in Information Technology
AKTU - Buddha Institute of Technology
CGPA: 7.8
Contact
Let's build the next intelligent product
Open to full-time opportunities, role transitions, and selective freelance collaborations across AI engineering, Android systems, edge AI deployment, and GenAI product development.