Nihaluddeen Siddiqui
@nihaluddeen
AI/LLM engineer taking RAG, guardrails, and agents from prototype to production in high-stakes domains.
What I'm looking for
I’m an AI/LLM engineer and technical leader with 6+ years in technology and 2+ years building production AI systems. I build production-ready LLM platforms—RAG, evaluation and guardrails, real-time speech-to-text, and agentic workflows—especially in hard, high-stakes domains like healthcare and law.
As Co-Founder & CTO of a clinical-AI SaaS, I help deliver ambient documentation that transcribes doctor–patient conversations, produces PII-free summaries, and auto-populates prescription fields used across 500+ clinics and hospitals. I redesigned the inference pipeline to cut transcript-and-summary generation from 2–5 minutes to 30–45 seconds (and ≤90s for long visits), while reducing PII leakage using prompt-level guardrails and redaction.
In parallel, I’m Co-Founder & CTO of a Hindi speech + legal-AI product where I architect a real-time ASR pipeline feeding RAG-grounded LLM reasoning over Indian legal material. I focus on the hard parts builders avoid—code-mixed Hindi-English transcription, non-English legal audio, and hallucination control—plus a public evaluation suite for Hindi legal STT/LLM accuracy.
Experience
Work history, roles, and key accomplishments
Co-Founder & CTO
Voitec
Apr 2026 - Present (3 months)
Architecting a remote Hindi real-time ASR pipeline feeding RAG-grounded LLM reasoning over Indian legal material with a FastAPI + PostgreSQL backend and React front end. Building hallucination control and a cost/latency-optimized evaluation suite for Hindi legal speech-to-text and structured outputs.
Chief Technology Officer
DRCFO
May 2025 - Present (1 year 2 months)
Lead a clinical AI SaaS technology function with an integrated AI layer, building an ambient AI scribe that transcribes visits, generates PII-free summaries, and auto-populates prescription fields. Reduced transcript-and-summary generation latency, added additional AI modules for questionnaire summarization and Prakriti prediction, and leads a team of 4 engineers with CI/CD ownership.
Machine Learning Engineer
Chinar Quantum AI
Aug 2024 - Jan 2025 (5 months)
Built a movie recommendation engine using collaborative filtering that improved user satisfaction by ~10%, deployed via Streamlit. Built an email/SMS spam classifier reaching 95% accuracy by owning preprocessing, feature engineering, and evaluation.
Software Developer
Abhitech IT Solutions
Oct 2021 - Sep 2023 (1 year 11 months)
Led backend development for the U.P. Government “Mukhyamantri Abhyuday Yojana” portal, streamlining service delivery for 50,000+ scheme beneficiaries. Worked with government stakeholders to convert policy requirements into scalable web workflows.
Project Coordinator
Vanisb Technology
Jan 2019 - Jan 2021 (2 years)
Coordinated public-sector digital projects focused on delivery. Identified and mitigated risks to support project execution.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology Srinagar
Master of Science (M.Sc.) in Physics, Physics
Grade: GPA 8.3/10
M.Sc. in Physics from NIT Srinagar, completed in 2018 with a GPA of 8.3/10.
Aligarh Muslim University (AMU)
Bachelor of Science (B.Sc.) in Physics (Honours), Physics
B.Sc. (Hons.) in Physics from Aligarh Muslim University, completed in 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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