Sahil Gaikwad
Open to work2 years experienceSoftware Engineer
Associate Software Engineer specializing in AI/ML and Backend Development.
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Skills & Technologies
59 skillsWork Experience
Associate Software Engineer
GMoney Pvt. Ltd.
- Claim Tracker:Automated claim-status retrieval across 15+ insurance/TPA portals by reverse-engineering network flows and building custom authentication adapters, processing 2,400+ daily retrievals at 70% end-to-end automation.
- Reduced batch retrieval latency to under 30 seconds for 1,200+ records per run via cron-triggered Celery tasks with randomized invocation windows and streamlined session lifecycle management.
- HSP Bill Audit:Built a vision-language model pipeline extracting structured data from unstructured hospital bills with 85–90% accuracy across 10,000+ formats; applied QLoRA fine-tuning (0.6% of parameters on 50 samples) with targeted preprocessing, improving accuracy by 15–20%.
- Migrated inference from self-hosted Qwen 7B (EC2 GPU) to AWS Bedrock (Qwen 22B), improving output quality and reducing compute costs by 60% with zero manual intervention.
- OPD Bill Audit:Delivered an AI-powered handwritten prescription extraction system processing 100–300 OPD bills/day with 15–30s asynchronous turnaround; integrated a RAG-grounded correction layer via Bedrock Knowledge Base to resolve doctor shorthand into canonical medicine names.
- Deployed Qwen VLM (Mixture-of-Experts) via AWS Bedrock – leveraging sparse expert activation for efficient multi-format inference – backed by a fully asynchronous DRF pipeline (Celery, RabbitMQ, Redis), decoupling API response from model latency with PostgreSQL persistence.
- Document Validation:Designed and shipped a compliance-ready serverless document validation system processing 500+ documents/day across 9 document types at sub-10s turnaround and 90% accuracy; integrated a YOLO-based logo classifier and PII redaction pipeline (Aadhaar/PAN), reducing manual reviews by 80%.
- Signature Verification:Developed an ensemble signature verification system combining a Siamese CNN with OCR-based text matching; slashed false-positive rate from 35% to under 5% via ensemble scoring, achieving 97% accuracy on PAN-to-disbursement signature verification.
- Improved model robustness through six-fold data augmentation and F1-optimized precision-recall threshold tuning on 100 signature pairs.
- Claim Desk:Enhanced a live insurance claims platform over 150,000+ records to 700ms–1s dashboard response via ORM query optimization and asynchronous concurrent processing; implemented Autonomous policy decoding (co-pay, subvention, coverage terms) with bidirectional MEAN server sync, eliminating manual document handoffs.
- DPD:Shipped a loan recovery module with dynamic payment link generation (Razorpay, Cashfree), WhatsApp integration, WebSocket-based agent call scheduling, and nightly LMS sync – reducing recovery turnaround by 40%.
Software Engineering Intern
Acuradyne Systems
- Maintained 2 Ai-enabled IoT healthcare diagnostic systems through active clinical trials, debugging FastAPI services and EC2 infrastructure; engineered Lambda Layers via Docker to resolve a critical Firebase connectivity gap in a serverless backend.
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About Details
Professional Bio
Associate Software Engineer with expertise in AI/ML, backend development, and cloud infrastructure. Proven track record in automating complex workflows, optimizing system performance, and deploying scalable AI solutions using AWS, Python, and Django.
B.E. Information Technology, Honors in Data Science in Information Technology
University of Mumbai ( - 2024)