Hi, I'm @jinank,
Senior Software Engineer
who builds self-healing
AI systems that act.
Work Experience
End-to-end ownership through design → architecture → deployment → optimization, collaborating with cross-functional teams to deliver real impact.
SUNY Polytechnic Institute
Graduate Research Assistant
Jan 2025 – Present
- •Designed ML pipelines using Python and Transformers for financial text
- •Built reproducible ML workflows improving experimentation speed by 35%
- •Developed interactive dashboards using Streamlit and Power BI
- •Integrated multi-modal ML models into production analytics systems
Core Expertise
ML Pipelines & Analytics
Advanced research in financial NLP using transformer-based models and automated data engineering.
- Financial Text Analytics Pipelines
- Reproducible ML Workflows
- Streamlit & Power BI Dashboards
Mentorship & Leadership
Leading technical workshops and mentoring over 90 graduate students in machine learning.
- 90+ Students Mentored
- Technical Workshop Design
- Innovation Advocate
Academic Excellence
Pursuing MS in Data Science with a focus on Deep Learning and Time Series Analysis.
- MS in Data Science (GPA 3.96)
- SUNY Poly Academic Award
Graduate Research Assistant focusing on financial text analytics
Rethinksoft
Senior Software Engineer / ML Engineer
Mar 2016 – July 2024
Built full-stack AI applications and high-throughput APIs improving performance by 35%. Lead developer for ETL pipelines and AWS migrations.
"Exceptional engineer who bridges the gap between ML research and production code."
Openxcell Technolabs
Software Developer
Mar 2013 – Mar 2016
Founding engineer for the Orderhive platform, supporting 1,500+ global merchants and contributing to a $45M acquisition.
Founding Engineering
Built core ecommerce integrations and optimized database performance by 40%.
"Instrumental in scaling our backend and securing our acquisition."
Projects
jinankthakkerLeadership & Awards
Recognized for academic excellence and technical contributions in the field of engineering and data science.
- SUNY Poly Academic Award (2026)
- Burger King Foundation Scholar (2025)
- Developer of the Year @ Openxcell (2015)
- Program Head @ NYBPC (2025-2026)
for SAs
Deep Reinforcement Learning for Algorithmic Trading
Multi-agent RL environment for high-frequency trading simulations using FinRL.
End-to-End MLOps Pipeline
Automated retraining and deployment of models with CI/CD on AWS.
Knowledge-Graph Enhanced RAG System
Improved LLM context retrieval with structured knowledge extraction using Neo4j.
Auto-Scaling Microservices on AWS
Resilient backend architecture handling peak loads automatically with Kubernetes.
distributed-training-framework
Scalable training across multi-GPU nodes with minimal overhead using Horovod.
real-time-fraud-detection
Low-latency event processing pipeline for anomaly detection with Kafka.
autonomous-agent-orchestrator
Framework for multi-agent task planning and execution using AutoGPT.
edge-ai-inference-engine
Reduced latency for local processing of high-frequency data with ONNX and C++.
distributed-training-framework
Scalable training across multi-GPU nodes with minimal overhead using Horovod.
Technical Profile
High-Agency EngineerMy approach combines the rigor of traditional software engineering with the flexibility of new AI architectures.
- ›Microservices Architecture: Designing distributed systems with high availability.
- ›Data Engineering: Complex ETL pipelines with 40% performance optimization.
- ›AI Mentorship: Over 90 students mentored in ML and data analytics.
- ›Founding Engineer: Direct contribution to million-dollar acquisitions (Orderhive -> Cin7).
Sharing
Program Head
Startup competition orchestration and technical mentorship.
Coming Soon
Education & Mentorship
Data Science & MLActive mentorship of students and professionals in the AI and data analytics field.
Education
MS in Data Science & Analytics
GPA 3.96/4.00. Focus on advanced ML and analytics.
BE in Computer Engineering
Software and systems foundations.