Sushmita C.

Software Engineer

Lucknow, Uttar Pradesh, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered AI transcription pipeline reducing latency by 60%.
Developed EEG analytics module with 91.3% diagnostic accuracy.
Led Agile teams to increase velocity by 25%.

Stackforce AI infers this person is a Healthcare-focused Software Engineer specializing in Applied AI and product development.

Contact

Skills

Core Skills

Applied AiProduct ManagementCommunication

Other Skills

AWSAgentic AIAgile MethodologiesAgile Project ManagementAmazon Web Services (AWS)ArtArtificial Intelligence (AI)Audio TranscriptionBusiness UnderstandingCI/CDCRMChemistryComputer ScienceComputer VisionCreative Writing

About

I am a Software Engineer & Product Engineer specializing in Applied AI, with 2 years of experience building at the intersection of AI/ML systems and product strategy. My expertise lies in transforming complex technical capabilities like LLM orchestration and real-time audio processing into high-impact user features.With a background in Computer Software Engineering and advanced training in Product Management from ISB, I bridge the gap between "what can be built" and "what should be built." I don't just write code; I scope MVPs, optimize system design for user value, and lead Agile teams to ship faster.Technical Toolkit & Product Edge:Applied AI: Whisper, LangChain, LLaVA, and Python-based ML pipelines.Engineering: FastAPI, AWS (EC2, S3, DynamoDB), Docker, CI/CD, and REST API design.Product: PRDs, roadmapping, metrics tracking, and cross-functional leadership.

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Odyssey therapeia

2 roles

Software Engineer (Applied AI & Product)

Jun 2023 – Mar 2025 · 1 yr 9 mos · On-site

AI Transcription Infrastructure: Engineered and deployed an end-to-end AI transcription pipeline using Python, FastAPI, and AWS (EC2, S3, DynamoDB). Reduced speech latency by 60%, directly improving the "natural feel" of therapy sessions and user retention.
LLM & Automation Strategy: Integrated LangChain + Whisper into an intelligent assistant, automating 70% of repetitive support queries and significantly reducing operational overhead.
Scalable Backend Systems: Architected production-ready REST APIs and an internal CRM with calendar syncing, boosting client communication efficiency.
Database Performance: Optimized DynamoDB design patterns, slashing query times and storage costs while ensuring the system could scale to meet user growth.
Agile Leadership: Led ceremonies as Scrum Master, increasing team velocity by 25% through structured sprints and stakeholder-aligned demos.
DevOps & Quality: Containerized services using Docker and established CI/CD pipelines for zero-downtime deployments, maintaining high code quality through TDD and peer reviews.
Product Initiative: Actively collaborated with PMs to scope MVPs and refine features, using analytics and stakeholder feedback to influence the long-term product roadmap.

PythonFastAPIAWSDockerCI/CDAgile Project Management+3

AI Engineering Intern

Feb 2023 – May 2023 · 3 mos · On-site

Diagnostic ML: Developed a real-time EEG analytics module achieving 91.3% diagnostic accuracy, bridging the gap between raw data and clinical insights.
Computer Vision Integration: Deployed a LLaVA-based image classification module that reduced clinical annotation effort by 45%.
Product Influence: Spearheaded UX recommendations for clinical workflows; 2 major changes were prioritized and implemented in the live product roadmap.
Technical Communication: Presented weekly technical insights to cross-functional teams, translating complex AI engineering data into actionable product decisions.

JavaScriptJavaApplied AI