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Vetted JWT Professionals
Pre-screened and vetted.
Bandla Sai Giridhar
Mid-level Software Engineer specializing in full-stack and cloud-native microservices
“Backend engineer who built a Python/Flask system for high-volume healthcare claims processing, using PostgreSQL as the source of truth and RabbitMQ workers for scalable async processing. Experienced in SQLAlchemy/Postgres performance tuning, multi-tenant data isolation (including Postgres RLS), and integrating/versioning ML model services (scikit-learn/PyTorch/Hugging Face) with controlled rollouts. Drove measurable performance gains by batching background jobs and adding Redis caching (40% less workload; response times cut from ~10s to 2–3s).”
Corbin Ward
Junior Product Manager / APM specializing in data tools, CMS platforms, and AI-enabled products
“Data Software Tools Analyst at Q.ai through rapid growth and a $2B Apple acquisition who led an internal CMS for participant/PII workflows using Next.js (App Router) + FastAPI/Postgres with strong security controls (JWT + Postgres RLS). Also drove a major frontend architecture shift toward React Server Components, reporting ~4x faster page loads, and has experience building durable realtime collaboration systems with Supabase/SvelteKit and server-centric state management.”
Sai Swetha Bodlapati
Senior Data Engineer specializing in Spark, Kafka, and Databricks Lakehouse platforms
“Data engineer at Fidelity who built and operated a real-time financial transactions lakehouse on AWS/Databricks, processing millions of records daily with Kafka streaming. Demonstrated strong reliability and data quality practices (watermarking, idempotent Delta writes, validation/reconciliation, observability) and delivered measurable improvements (~30% faster jobs and ~30% fewer data issues) while enabling trusted gold-layer analytics for downstream teams.”
Sanskruti Raut
Mid-level AI/ML & Full-Stack Engineer specializing in LLM agents and medical RAG systems
“Full-stack engineer at an early-stage startup building an agentic AI application for enterprise systems, combining customer-facing Next.js/React UI work (30% faster load times) with backend/workflow orchestration using FastAPI + n8n, Redis, and RabbitMQ. Previously at Deloitte USI, built BDD Selenium/Java automation and managed 200+ defects end-to-end using JIRA/JAMA to support on-time production releases.”
Sai Venkata Sathwik Golla
Mid-level Backend & Applied ML Engineer specializing in LLM systems and scalable APIs
“Backend engineer who significantly evolved an internal analytics/reporting platform (Python API + Postgres) powering self-service dashboards for product/business teams, focusing on reliability under heavy concurrent load and fast query performance. Demonstrates strong production engineering practices across API design (FastAPI), observability, incremental rollouts with feature flags, and data security using JWT/RBAC plus Postgres row-level security.”
Sanjana Kirthi
Junior Software Engineer specializing in backend platforms and cloud-native systems
“Backend engineer from Emphasis who modernized legacy, tightly coupled workflow systems into observable, event-driven microservices using Kafka. Led a monolith-to-microservices refactor with shadow traffic, feature flags, canary rollout, dual writes, and reconciliation, and strengthened reliability with idempotent consumers, DLQ/replay, and an outbox pattern to prevent DB/event inconsistency. Strong focus on secure multi-tenant APIs (OIDC/JWT, RBAC/ABAC, Supabase-style RLS) and frontend enablement via OpenAPI and typed client generation.”
Rushwant K
Mid-Level Full-Stack Software Engineer specializing in FinTech and microservices
“Backend engineer with experience at Discover, Dell, and Carpus building high-concurrency microservices and secure APIs. Delivered measurable impact in fintech workflows by integrating credit bureaus (TransUnion/Experian), cutting loan processing from days to minutes and reducing latency 65% through PostgreSQL tuning and caching. Strong in production security patterns (JWT/RBAC, Postgres row-level security for multi-tenant isolation) and low-risk migrations (shadow mode + incremental rollout).”
Sharanya Teegala
Mid-level Full-Stack Software Engineer specializing in Java/Spring and AWS microservices
“Full-stack engineer with experience at Wells Fargo and Salesforce building regulated, customer-facing financial systems and internal DevOps tooling. Deep in microservices and event-driven architectures (Spring Boot, Kafka/RabbitMQ) with strong CI/CD automation, contract testing, and observability; delivered measurable impact including 60% faster deployments and 40% fewer support tickets.”
Upal Kundu
Junior Security Engineer specializing in cloud security and DevSecOps
“Candidate has hands-on experience building and debugging cloud-based backend workflows across AWS and GCP, including a remote desktop deployment for HP, email-to-Google-Sheets automation, and AI/voice backend testing. They stand out for practical infrastructure troubleshooting, API integration work, and lightweight LLM application development with attention to latency, cost, and operational stability.”
Niranjaan Munuswamy
Mid-level Full-Stack Software Engineer specializing in cloud and data engineering
“Backend engineer with experience at Cigna evolving REST API services backed by PostgreSQL, emphasizing reliability/correctness, scalability, and observability. Has hands-on production experience with FastAPI (contract-first design, Pydantic schemas), performance tuning (indexes, caching), and secure auth patterns (OAuth/JWT, RBAC, row-level security via Supabase), plus low-risk incremental rollouts using feature flags and dual writes.”
Abhishek Arugonda
Mid-level Backend Software Engineer specializing in cloud-native microservices
“Backend/platform engineer with experience across Cigna, Cognizant, and a university environment, focused on reliability, distributed systems, and regulated-domain workflows. Stands out for combining Kubernetes/Kafka/AWS infrastructure expertise with a production RAG-based healthcare compliance assistant that cut manual reporting work from 30-45 minutes to under 2 minutes while maintaining strong uptime and data-quality controls.”
“Engineer with a thoughtful, hands-on approach to AI-assisted software development, treating AI as a force multiplier for debugging, prototyping, and large-codebase work rather than a substitute for judgment. Particularly strong in multi-agent coding workflows, contract-driven development, and maintaining consistency across backend, frontend, and testing through shared schemas and OpenAPI-based coordination.”
Phani Konni
Mid-level Full-Stack Software Engineer specializing in agentic AI and document automation
“Software engineer who recently shipped an authentication and role-based access feature for a web app, using AI selectively for boilerplate, debugging, and test suggestions while retaining ownership of architecture, security, testing, and final review. Stands out for a disciplined, security-first approach to AI-assisted development and a pragmatic preference for lightweight API-driven solutions over unnecessary framework complexity.”
Ankit Yadav
Mid-level Software Engineer specializing in cloud-native microservices
“Backend engineer who shipped a Spring Boot transactions/points feature while using AI selectively for boilerplate and test ideas, keeping core system design decisions in human hands. Stands out for rigorous validation of AI output against database behavior, concurrency, idempotency, and failure scenarios, and has also built a lightweight planner -> code gen -> validator agent-style pipeline with step-level logging and retries.”
Rutujeet Falmare
Mid-level Software Engineer specializing in backend microservices and AI-integrated platforms
“Full-stack engineer with experience spanning AI-powered product features and healthcare fraud detection systems. Has built end-to-end LLM-enabled applications, customer-facing recommendation systems at scale, and operational platforms that improved real-time investigations and flagged over 1,200 high-risk cases quarterly.”
Priyanka Tayi
Senior Frontend Developer specializing in modern JavaScript web applications
“Front-end engineer with hands-on ownership of a React/TypeScript workforce management platform used by site managers and field workers in the energy sector. Stands out for building scalable, reusable UI architecture for complex task/checklist workflows while also improving real-world usability and performance through pagination, bulk actions, and close feedback loops with operational users.”
Trisha Shah
Mid-level Software Engineer specializing in AI, cloud, and full-stack systems
“Full-stack and AI product engineer with strong AWS/Snowflake experience who built an internal feature flag platform and helped migrate a cybersecurity insights product into a multi-agent AI chat interface. They report production scale of 1M+ embeddings and 50k+ monthly queries, with outcomes including an 80% reduction in analyst work and dashboard generation in 7 minutes; the work was also featured by Claude and AWS.”
Mayur Jain
Mid-level Full-Stack Engineer specializing in AI, blockchain, and cloud systems
“Founding engineer who has built core product and backend architecture from scratch at two startups, spanning a full-stack NFT marketplace and an AI voice assistant for sales qualification and scheduling. Brings 5+ years of full-stack experience with strong React/TypeScript and Python backend depth, plus hands-on production experience with LLM workflows, evaluation, and AI-assisted developer tooling.”
Shreya Kamath
Junior Full-Stack Engineer specializing in AI-powered web platforms
“Full-stack engineer with a strong blend of fintech and applied AI experience, having built a Stripe-based payments platform end to end and shipped an AI meeting intelligence system using LiveKit, Deepgram, and OpenAI. Particularly compelling for teams needing someone who can design reliable backend systems, productionize LLM features, and operate effectively in early-stage, ambiguous environments.”
Sai Naveen Reddy Reganti
Mid-level Full-Stack Engineer specializing in cloud-native FinTech and Healthcare systems
“Full-stack engineer working on customer-facing utility and banking platforms, with hands-on experience across React/React Native, Java/Spring Boot, Python/Django, AWS, and SQL performance tuning. Stands out for owning production systems end to end, improving CI/CD and deployment reliability, and delivering a measurable database optimization that cut CPU utilization from about 80% to 40%.”
Bibek Poudel
Mid-level Full-Stack Developer specializing in FinTech and E-commerce
“Full-stack engineer with experience spanning enterprise AI and e-commerce, including building an agentic orchestration platform and owning a RAG system pipeline at JP Morgan Chase. Stands out for combining React/Node backend delivery with LLM security work, RBAC-heavy system design, and practical SQL/query optimization in production.”
Sriharshini Saraswathi
Mid-level Full-Stack Developer specializing in Python, cloud-native apps, and Generative AI
“Full-stack product engineer with hands-on ownership from UX/design collaboration through React frontend build, FastAPI/Django services, and AWS deployment. Particularly notable for shipping AI-powered customer support experiences using RAG, LangChain, OpenAI, and Pinecone in a banking context, while also showing pragmatic MVP execution on inventory management workflows.”
Shivam Soni
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices and AI/ML
“Backend engineer who optimized an AI-driven portfolio analytics/insights platform at Fidelity, addressing latency and traffic growth by moving services toward microservices, improving service communication, and tuning API/DB performance. Experienced scaling Python/FastAPI services with Docker + Kubernetes autoscaling, and strengthening security/privacy for sensitive client portfolio data used in LLM-based reporting.”