Alok Dalvi
Open to work2 years experienceAI/ML Engineer
AI/ML Engineer specializing in GenAI, RAG, LLM fine-tuning, and scalable backend deployment.
Standing Rank
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Skills & Technologies
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Work Experience
Software Developer (AI/ML Focus)
CloudMojo Tech Private Limited
- Designed and deployed end-to-end RAG systems using vector databases, semantic search, and guardrail mechanisms.
- Engineered agentic workflows using LangGraph and StateGraph.
- Optimized LLM inference pipelines by tuning tokens and parameters, reducing document processing time from 60s to 15s per page (75% reduction).
- Built OCR and metadata extraction pipelines with multi-step classification.
- Implemented LLM inference using Transformers, vLLM, and GPU-based multiprocessing.
- Applied LoRA, QLoRA, and PEFT fine-tuning techniques for domain-specific model optimization.
- Built and deployed full-stack AI applications using FastAPI, Docker, Nginx, and Supervisor.
- Integrated AWS and Azure services and monitored cloud usage.
- Collaborated directly with clients for requirement gathering and delivered multiple Proof-of-Concepts (POCs).
- Mentored interns and new joiners; acted as SPOC and led independent projects.
Projects
Face Recognition System
- Developed real-time face recognition application using deep learning, integrating face detection, alignment, and recognition pipelines.
QLoRA Fine-Tuning for Ancient Language Character Classification
- Fine-tuned transformer models using QLoRA for low-resource language character classification.
Fire Detection System
- Built deep learning-based real-time fire detection model for surveillance.
College Enquiry Chatbot (InfoQuill)
- Developed BiLSTM-based conversational AI system with GloVe embeddings; deployed via Flask web application.
Plant Disease Detection
- Built Faster R-CNN model with MobileNetV2 backbone for multi-class plant disease detection.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
75% Inference Optimization
Optimized LLM inference pipelines by tuning tokens and parameters, reducing document processing time from 60s to 15s per page (75% reduction).
About Details
Professional Bio
AI/ML Engineer with 1.5+ years building production-grade GenAI systems — RAG pipelines, agentic workflows, and LLM fine-tuning — with a proven track record of 75% inference optimization and end-to-end deployment at CloudMojo.
M.Sc. in Artificial Intelligence
B. K. Birla College (Autonomous), Kalyan (2022 - 2024)
B.Sc. in Information Technology in Information Technology
NES Ratnam College, India (2019 - 2022)