AKHIL INAMDAR
@akhilinamdar
AI Engineer building scalable LLM and ML pipelines, from fine-tuning to deployment, using Python, SQL, and cloud platforms.
What I'm looking for
I’m an AI Engineer with a strong foundation in SQL, Python, LLMs, and cloud computing. I build, fine-tune, and deploy intelligent systems and machine learning pipelines at scale, with hands-on experience managing platforms like AWS, Azure, and GCP. In my AIML Intern role, I processed and standardized datasets for attendance and built a Smart Attendance System that saved 15 minutes of daily class time.
I also develop production-ready AI projects, from an RAG-based AI Knowledge Assistant that ingests PDFs/CSVs/web content/OCR images and answers with citations, to an AI-powered blockchain e-voting system combining identity verification, fraud detection, and immutable vote recording. I’m motivated by delivering impactful AI solutions in fast-paced environments, and I back it with DevOps and MLOps learning through Infosys SpringBoard and Coursera.
Experience
Work history, roles, and key accomplishments
AI Knowledge Assistant
Vstand4U Solutions
Feb 2026 - Apr 2026 (2 months)
Built an AI knowledge assistant using RAG and vector search to answer questions from PDFs, CSVs, websites, and OCR images with citations. Implemented an ingestion-to-embeddings pipeline and retrieval workflow to generate accurate, lower-hallucination responses.
AI/ML Intern
Aargees Business Solutions
Jun 2025 - Aug 2025 (2 months)
Processed and standardized a dataset of 10,000+ students to support attendance marking. Designed and maintained a Smart Attendance System that saved 15 minutes of daily class time and produced organized attendance reports.
Education
Degrees, certifications, and relevant coursework
Shri Dharmasthala Manjunateshwara College of Engineering and Technology
Bachelor of Technology (B.Tech), Computer Science and Engineering
Grade: 7.52/10
Pursued a B.Tech in Computer Science and Engineering at Shri Dharmasthala Manjunateshwara College of Engineering and Technology. Graduated in 2026 with a CGPA of 7.52/10.
Availability
Location
Authorized to work in
Job categories
Skills
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