Sahil Suriya
Open to work1 years experienceAI / ML Engineer
AI / ML Engineer with experience in end-to-end ML pipelines, RAG systems, and NLP-powered services.
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Skills & Technologies
34 skillsWork Experience
AI/ML Engineer
Vector Stack, Bangalore
- Developed and deployed 3 FastAPI Monolithic powering core ML workflows, handling 1,000+ daily API calls with 99.9% uptime.
- Designed a video-transcript synchronization system achieving 99.5% alignment accuracy using sequence alignment algorithms.
- Optimized 50+ API endpoints, reducing error rates by 20% and improving response latency by ~35% through caching and async refactoring.
- Collaborated with the ML team to integrate model inference pipelines into production, cutting deployment cycle time by 40%.
AI Data Curation and RLHF Intern
Skypoint Cloud, Bangalore
- Automated web scraping workflows using Python + Selenium, improving data collection efficiency by 30%.
- Built preprocessing pipelines delivering 95% clean datasets, directly reducing model retraining frequency.
- Engineered an AI ingestion pipeline that reduced model processing time by 25%, saving 2 hrs per training run.
Projects
RAG-Based Multi-Format Document QA Chatbot
- Built an agent-based RAG system using LangChain + FAISS, enabling retrieval across 100+ document types (PDF, DOCX, HTML, CSV).
- Designed custom LLaMA-based retrievers improving extraction accuracy from 65% to 85% on internal benchmarks.
- Reduced analyst document-search time by 70% in pilot testing with 3 internal teams.
AI Voice Assistant for Financial Transactions
- Engineered a secure AI voice assistant using Gemini LLM + Google Speech-to-Text (STT) enabling natural language financial transactions.
- Achieved 95%+ voice command recognition accuracy across 10 transaction types in real-world conditions.
- Presented at GHCI Hackathon 2025, Bangalore selected among top projects at India's largest tech conference.
News Summarization & Sentiment Analysis
- Built a FastAPI NLP service aggregating and analyzing news across 15+ data sources using transformer-based summarization models.
- Designed comparative sentiment scoring using NLP to identify competitive trends and market signals.
- Reduced manual analysis time by 90%, delivering automated daily digests to 5 business stakeholders.
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
GHCI Hackathon 2025 Recognition
GHCI Hackathon 2025, Bangalore: Presented AI Voice Assistant; recognized among top projects at India's largest tech event.
Peer-reviewed Research Publications
Published 2 peer-reviewed research papers on AI-powered systems (scheduling optimization and content generation).
About Details
Professional Bio
AI/ML Engineer with 1+ year of production experience building end-to-end ML pipelines, RAG systems, and NLP-powered services. I specialize in Python, LangChain, FastAPI, and cloud deployment. Passionate about shipping AI systems that deliver measurable business impact.
Master of Computer Applications (MCA) in Computer Applications
Dr. Ambedkar Institute of Technology, Bangalore (2023 - 2025)
Bachelor of Computer Applications (BCA) in Computer Applications
BMS College of Commerce & Management, Bangalore (2020 - 2023)