Adarsh Pratap Singh
@adarshpratapsingh1
I build and commercialize AI agents and production ML systems with voice and automation expertise.
What I'm looking for
I commercialize AI agents—WhatsApp, Voice, and Email—using LangChain and Azure OpenAI, turning a single REST API endpoint into paying client outcomes. I’ve engineered low-latency voice AI with Whisper STT and SIP trunking, and scaled intent-based email processing to handle 1,000 concurrent messages.
I also deliver end-to-end ML in production: training and deploying YOLO-based models with strong detection accuracy, curating and annotating custom datasets, and wiring inference pipelines to backend APIs for real-time autonomous decisions. Alongside this, I pursue research with IEEE acceptance (early Parkinson’s detection) and translate ideas into prototypes and patents, because I care about impact—not just models.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
Assistflow Private Limited
Mar 2025 - Present (1 year 3 months)
Commercialized WhatsApp, Voice, and Email AI agents using LangChain and Azure OpenAI, acquiring 5 paying clients via a single REST API endpoint; engineered voice STT with SIP trunking achieving 600ms end-to-end call latency and built an email agent handling 1,000 concurrent emails.
AI Intern
Vastav Intellect IP Solutions
Apr 2024 - Jun 2024 (2 months)
Fine-tuned a TensorFlow/PyTorch classification model to 92.8% accuracy on a 400-entry dataset using feature engineering and augmentation; improved performance by ~10% through hyperparameter tuning evaluated with precision, recall, and F1-score.
ML Engineer (Contract)
Compunnel Inc
Mar 2023 - Apr 2024 (1 year 1 month)
Trained and deployed YOLO-based models achieving 95.8% detection accuracy across two simultaneous live 30fps video streams; curated and annotated a ~10,000-image dataset and integrated real-time ML inference pipelines with backend APIs for autonomous decision systems.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology, Bhopal
Bachelor of Technology (B.Tech), Computer Science Engineering
Grade: CGPA: 8.7/10
Pursuing a B.Tech in Computer Science Engineering at Vellore Institute of Technology, Bhopal (CGPA: 8.7/10).
Kendriya Vidyalaya, New Delhi
CBSE 12th Board, CBSE
Completed CBSE 12th Board from Kendriya Vidyalaya, New Delhi.
Kendriya Vidyalaya, New Delhi
CBSE 10th Board, CBSE
Completed CBSE 10th Board from Kendriya Vidyalaya, New Delhi.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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