
Aman Chaurasia
@amanchaurasia
AI Engineer at Darwix AI building real-time conversational AI and a hybrid retrieval engine with sub-500ms P95 latency.
What I'm looking for
At Darwix AI, I build real-time conversational AI infrastructure, from audio-to-NLP call intelligence pipelines to LLM orchestration. My work on the call intelligence pipeline achieved 99%+ uptime.
I built a hybrid retrieval engine combining FAISS and BM25 that achieved sub-500ms P95 query latency across tenants. I also built an Objection Detection Engine that reached 95–98% detection accuracy and reduced false positives by 30–40%.
As an AI Engineer Intern at Darwix AI, I developed RAG pipelines and FastAPI services for transcription, summarization, and LLM responses. I deployed services on AWS and contributed to a core AI product used by paying customers.
Through self-employed projects, I built AI/ML applications spanning RAG, LLM fine-tuning, NLP, and MLOps. I’m finishing my BTech in Computer Science at IIIT Raichur, and I’m open to Forward Deployed Engineer, Applied AI Engineer, AI Engineer, and Developer Advocate roles at AI-first companies.
Experience
Work history, roles, and key accomplishments
→ Architected real-time AI call intelligence pipeline (audio → STX → NLP → live nudges) achieving 99%+ uptime, resolving 12–15 production issues including transcript instability and speaker misclassification.
→ Built hybrid Objection Detection Engine combining semantic search + LLM validation , achieved 95–98% detection accuracy, cut false positives by 30–40% across 200+ concurrent users.
→ Buil
→ Built end-to-end RAG pipelines for domain-specific conversational AI , integrated chunking strategies, embedding models, and pgvector retrieval to improve answer relevance on real user queries.
→ Developed FastAPI backend services for real-time transcription, summarization, and LLM response generation, deployed on AWS (SageMaker + Lambda).
→ Improved retrieval precision through systematic prom
Cultural Secretary-COSA(2024-25)
Aug 2024 - Oct 2025 (1 year 2 months)
→ Led end-to-end planning and execution of 400+ campus-wide events across an academic year - managed logistics, ₹5 lac budget, and coordination across student bodies, faculty, and 15+ vendors.
→ Organized flagship events including annual fest, national observances, and themed cultural nights - driving campus-wide participation across 3,000+ students.
→ Built and managed a cross-functional team o
→ Built and optimized ML models using scikit-learn and TensorFlow, improving prediction accuracy by 15% through algorithm selection, feature engineering, and complexity analysis.
→ Built a scalable QA system using LangChain and Google Generative AI — reduced query response time by 30% through distributed indexing and result caching.
→ Automated ML workflows using MLflow, Apache Airflow, and DVC
AI & Web Developer | Generative AI, NLP, and MLOps Projects
Mar 2024 - Sep 2025 (1 year 6 months)
→ Built 5+ end-to-end AI/ML applications spanning GenAI, NLP, and MLOps — including RAG systems, LLM fine-tuning pipelines, sentiment analysis models, and content generation apps.
→ Engineered full MLOps pipelines using MLflow for experiment tracking, DVC for data versioning, and Apache Airflow for orchestration — containerized with Docker and deployed on AWS SageMaker.
→ Monitored model drift a
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology, Raichur
Bachelor of Technology - BTech, Computer Science
2022 - 2026
Forage
Deloitte Australia - Data Analytics Job Simulation
Jun 2025
Availability
Location
Authorized to work in
Salary expectations
Social media
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